You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Nineteen Palestinians were killed on <t1>November 18</t1> in the shelling of private homes in the northern Gaza town of Beit Hanun, which the Israeli military <e1>blamed</e1> on a technical malfunction.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
29

China vows to protect migrant workers against HIV/AIDS

Chinese top legislator meets Mongolian president

More needy college students <e1>benefit</e1> from KFC foundation

USAID official: China <e2>becomes</e2> major contributor to int'l aid for education

Chinese top political advisor meets Mongolian president

Ancient limestone cave suffers damage in Inner Mongolia

China Gas may announce new potential strategic investor

Indian official: India to learn from China for educational development

Weather information for major Asia-Pacific cities -- Nov.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Over the past several hours we have seen divisive acts that we don't like, but as a society and as a country we have to have the ethical strength to <e1>overcome</e1> this challenge," the Socialist <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The deficit fell to its lowest point since August 2005, and its monthly decline of 8.4 percent <e1>was</e1> the largest since <t1>December 2001</t1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Donen <e1>admitted</e1> <t1>last week</t1> that it had also failed to report "11 very low levels of leaks" at Fugen in the past three years.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Roh and Bush have <e1>agreed</e1> to <e2>meet</e2> in the country's southeastern city of Gyeongju on Nov.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Megacities would <e1>need</e1> up to 40 billion dollars annually over the next decade "to provide services at levels sufficient to <e2>sustain</e2> productivity, and achieve improvements in the quality of life."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The Asembly, noting that the trade in conflict diamonds remains "a matter of serious international concern, which can be directly linked to the fueling of armed <e1>conflict</e1> ... <e2>reaffirms</e2> its strong and continuing support for the Kimberley Process Certification Scheme and the Kimberley Process as a whole."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20061218.0172

VIENNA, <t1>Dec 18 , 2006</t1>, 2006

Muslims face discrimination in Europe: report

Muslims in Europe face discrimination in education, employment and housing and are often victims of verbal abuse and physical attacks, a monitoring group reported <t2>Monday</t2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The Zambian police <e1>stepped</e1> up fight with robberies accordingly and Musonda said about 50 suspected criminals of robbery were arrested in <t1>the last two months</t1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
7 , 2005 (Xinhua)

Big fire in Kabul destroys building of Revenue Department

A big fire happened Monday night in Afghan capital Kabul destroyed the building of the Revenue Department, but <e1>left</e1> no casualty till <t1>now</t1>, a local official said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
But Odinga, who is leading the "No" campaign opposing to the adoption of the new constitution, <e1>said</e1> his criticism of the Kibaki should not be <e2>construed</e2> to mean disrespect for him as the head of state.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The former hostages, whose names have not been <e1>given</e1>, <e2>said</e2> the two rebels were disarmed when they were captured.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Wen was to <e1>continue</e1> his European tour by <e2>flying</e2> to Slovakia later Wednesday before he heads to the Czech Republic and Portugal.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Against the backdrop of <t1>last year</t1>'s August-21 grenade <e1>attack</e1> on Awami League's rally in the capital in which 22 leaders and activists of the party were killed and hundreds others injured, the law enforcers will make a fool-proof security over the city to avoid any untoward incident.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The explosives, stuffed into a pressure cooker strapped to the donkey's back, <e1>detonated</e1> near the car belonging to the aid group in Faizabad, capital of northeastern Badakhshan province, police commander Shah Jahan Noori <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970408.0763

TOKYO, April 9 , 1997 (AFP)

Tokyo stocks open lower

Share prices opened lower on the Tokyo Stock Exchange on Wednesday, with the Nikkei stock average <e1>falling</e1> 34.70 points or 0.2 percent to 17,987.00 in <t1>the first five minutes</t1> of trading.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
PRI19980205.2000.1890
 NEWS STORY

 The US is <e1>bolstering</e1> its military presence in the gulf,
 as President Clinton <e2>discussed</e2> the Iraq crisis with the one
 ally who has backed his threat of force, British prime
 minister Tony Blair.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20061229.0450

SAO PAULO, Dec 30 , 2006, 2006

=(PICTURE)=

A former shoeshine boy who <e1>rose</e1> from abject poverty, Brazil's President Luiz Inacio Lula da Silva, 61, has <e2>given</e2> up his once fiery leftist rhetoric but not his image as a champion of the underdog.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
According to statistics, China imported 105 million tons of crude oil in the first ten months of <t1>this year</t1>, <e1>rising</e1> 5.7 percent year on year, and 25.69 million tons of refined oil, down 16 percent from a year ago.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
About 30 friendship societies from these countries were to formally launch the new federation at <t1>Saturday</t1>'s session, he <e1>said</e1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Are we <e1>going</e1> to <e2>continue</e2> in Africa sowing cotton to harvest deficits, while others, more affluent, sow the same cotton to harvest subsidies?"

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
A third gas <e1>blast</e1> on Sunday hit Luweitan Colliery in Linfen city, North China's Shanxi Province, killing all 24 miners underground, the local government <e2>said</e2> on Monday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
He added that talks could <e1>resume</e1> in <t1>the coming few weeks</t1> as the AL keeps in touch with the Somali government and the Islamic Courts Union (ICU) to resume negotiations.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
When the judge <e1>said</e1> he would tell them to return it, Saddam <e2>exploded</e2> into a nationalist speech.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Brazil <e1>added</e1> in an official statement that it "does not <e2>believe</e2> the execution of the sentence contributes to the pacification of Iraq."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Since then the media and souvenir merchants have <e1>become</e1> restless: Will 2007 be the year of Prince William and the <e2>return</e2> to glamor?

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
And Japan, the best <e1>resourced</e1>," he <e2>wrote</e2> in describing Australia's companions in Group F.

But while Brazil were certain to win the group, Australia had the benefit of having beaten all three teams previously, and Brazil had gone down 1-0 at the 2001 Confederations Cup in South Korea, he said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
14 , 2005 (Xinhua)

Philippines to seek agreement with US over custody of US marines accused of rape

The Philippines said <t1>Monday</t1> it cannot ask the US government to hand over the six US marines accused of raping a 22-year-old Filipino woman early <t2>this month</t2>, but will seek an agreement with the US side to solve the issue.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
One villager <e1>said</e1> on condition of anonymity that 30 people were killed while the New York Times quoted residents as saying that "as many as 20" <e2>died</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The deficit <e1>fell</e1> to its lowest point since August 2005, and its monthly decline of 8.4 percent <e2>was</e2> the largest since December 2001.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
These <e1>problems</e1> also <e2>resulted</e2> in Sun reporting a $20.3 million loss for its fourth quarter ended June 30.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
After several long range <e1>efforts</e1> from Cao Yang, Chen Tao and Sun Xiang, midfielder Wang Liang created the best chance for the hosts before the interval with a superb 25m curve after rounding down a defender, which was merely <e2>tipped</e2> over by a full-stretched Zdravko Zdravkov.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Landrieu <e1>won</e1> by a mere 5,788 votes over Republican rival Louis "Woody" Jenkins, who has charged that the local Democratic machine committed widespread fraud, including paying voters in impoverished New Orleans neighborhoods to <e2>vote</e2> more than once.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
He further <e1>said</e1> the bandits were suspected to be related with another robbery which <e2>occurred</e2> last month.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
But Kupriyanov on Sunday said this would not be possible, noting that the price demanded was lower than that <t1>now</t1> being <e1>paid</e1> by several other ex-Soviet republics, including Armenia, another ally of Russia.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20051221.0178

JENIN, West Bank, <t1>Dec 21 , 2005</t1>

URGENT  Local Hamas chief shot dead in West Bank

A local leader of the radical Palestinian movement Hamas was shot dead <t2>Wednesday</t2> by Israeli soldiers in the West Bank city of Jenin, medical sources said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Newly-approved entertainment places can not be established in residential compounds, museums, libraries or historical buildings under cultural relics protection, said the official, <e1>quoting</e1> a guideline recently <e2>issued</e2> by the ministry on enforcing the regulations.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Kyodo News, meanwhile, quoted a South Korean foreign ministry source as saying the two countries had "almost <e1>reached</e1> an agreement for <t1>April 17-19</t1>."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Together, we must encourage co-development and enable Africans to <e1>enjoy</e1> decent conditions for living and <e2>working</e2> in their own countries," Chirac, 73, said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"The European Union considers that the referendum and the elections did not contribute to <e1>efforts</e1> for peaceful conflict resolution," the statement <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The APEC Budget Management Committee (BMC) has approved 85 projects designed to <e1>strengthen</e1> the infrastructure and capacity of developing areas of the regional economy, worth 5.5 million US dollars in 2005, and a further 2.2 million dollars will be available for projects later in 2006, a committee official <e2>announced</e2> here Monday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Thursday's <e1>offer</e1> was made before a December 15 deadline <e2>set</e2> by the British Takeover Panel for Macquarie Bank to make a formal bid or walk away.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The International Binh Duong Television Cup, <e1>taking</e1> place from <t1>Nov.</t1>

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Similarly, trafficking and child marriage has <e1>increased</e1> from the previous year, the report <e2>stated</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The pair <e1>appeared</e1> to <e2>lash</e2> out after tangling in Everton's 1-0 Premier League victory at Goodison Park on Sunday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
On <t1>Monday</t1> he was released from the Luynes prison near Aix-en-Provence to be transferred by prison van to the day-release prison at Baumettes in Marseilles, an AFP correspondent <e1>said</e1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
During the enforcement of regulations on the administration of entertainment places, which took effect in <t1>March</t1>, several problems have emerged and need to be clarified, an official with the ministry <e1>told</e1> Xinhua.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The federal government was working toward <e1>addressing</e1> the threats of environmental degradation and other severe stress facing the country's land and water resources, he <e2>added</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20051216.0490

LONDON, <t1>Dec 16 , 2005</t1>

ATTENTION - UPDATES with market closings ///

European stock markets closed higher <t2>Friday</t2>, boosted by a strong signal of business confidence in Germany, the eurozone's biggest economy, and a positive opening on Wall Street.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
China on Saturday <e1>broke</e1> its silence on the protest, <e2>acknowledging</e2> demonstrators were killed when police opened fire and put the death toll at three -- far fewer than the dozens described by residents.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Together, we must encourage co-development and <e1>enable</e1> Africans to enjoy decent conditions for living and working in their own countries," Chirac, 73, <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Mahathir <e1>said</e1> it was fortunate that he had sought immediate treatment as soon as he had the mild heart <e2>attack</e2>, and this had enabled doctors to dilute the blood clot in his coronary artery.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The Italian authorities were "dismayed" by reports from the Albanian authorities on the mood in the south of the country, notably in Vlore from where many of the victims of Friday's accident <e1>hailed</e1> from, <e2>added</e2> the source.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Humanitarian cases and VIPs will be allowed to cross the border <t1>Friday</t1>, the radio <e1>said</e1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The turnover of containers at ports along the Yangtze River was <e1>estimated</e1> to grow by 30 percent, <e2>according</e2> to the ministry.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20051221.0178

JENIN, West Bank, Dec 21 , 2005

URGENT  Local Hamas chief shot dead in West Bank

A local leader of the radical Palestinian <e1>movement</e1> Hamas was <e2>shot</e2> dead Wednesday by Israeli soldiers in the West Bank city of Jenin, medical sources said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Shen <e1>repeated</e1> Beijing's position that "China has already <e2>fulfilled</e2> all the conditions of admission" into the multi-lateral body.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
A people was arrested in eastern Nangarhar province on <t1>Friday</t1> for <e1>taking</e1> many explosives in his body and the suicide explosion attempt.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
A haze akin to volcanic fumes <e1>cloaked</e1> the capital, causing convulsive <e2>coughing</e2> and obscuring the portrait of Mao Zedong on the gate to the Forbidden City.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Analysts said the Knesset <e1>vote</e1> on Monday showed that the rebels, who can <e2>count</e2> on eight votes in the 40-strong Likud faction and have at times commanded as many as 16, now hold an effective veto power over Sharon's parliamentary moves.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
10 , 2005 (Xinhua)

Johnson-Sirleaf appears to be Africa's first female president

Harvard-trained Iron Lady Ellen Johnson-Sirleaf <e1>appeared</e1> to be the first female president in Africa as results from nearly 90 percent of the polling stations on Thursday <e2>gave</e2> her a commanding advantage over football great George Weah in Liberia's post-war presidential runoff.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Critics of Britain's 156-year rule over Hong Kong <e1>say</e1> the colonial power moved too late to <e2>set</e2> down democratic institutions here.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
In Solo, PPP supporters clashed with security members on <t1>Saturday</t1>, leaving at least 20 people injured while in nearby Klaten, a Golkar convoy was <e1>pelted</e1> by stones by pro-PPP villagers on Sunday, the Media Indonesia daily said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
More than 100 overseas correspondents have <e1>registered</e1> to report the <e2>talks</e2>, sources said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The Turkish contingent of nearly 800 troops, is due to reach Albania by April 24 and <e1>become</e1> operational the following day, ministry officials <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Today, it has been proven that the Likud is, de facto, two factions," the aide <e1>said</e1>, speaking after a Knesset (parliament) vote on a package nomination of three cabinet ministers late on Monday, when Sharon was <e2>defeated</e2> by the opposition "rebels" of his own party.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"The formation of a new government is entirely likely before parliament resumes its <e1>session</e1>" on <t1>Monday</t1>, Front spokesman Jaipal Reddy told reporters at the coalition headquarters here.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Zhang Quanjing, who headed the department for five years until 1999, said, "It's appalling to hear that a Chinese official <e1>killed</e1> his superior in order to get a higher post," Zhang <e2>told</e2> the Southern Weekly this week.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20061220.0085

BANGKOK, Dec 20 , 2006, 2006

governor ///

Thai share prices rebounded Wednesday after the military-installed government was forced to dump draconian capital controls that sparked a 15-percent collapse on <t1>Tuesday</t1>, dealers <e1>said</e1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Last year several local journalists were <e1>investigated</e1> for revealing "national secrets in violation of Article 97 of the criminal code," after reporting possible mishandling of aircraft <e2>purchases</e2> by Vietnam Airlines.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Tired, yawning after spending the whole night <e1>travelling</e1> aboard buses, their faces and hands red with cold, the pilgrims <e2>trod</e2> along the closed-to-traffic streets and boulevards decorated by Bosnian state flags, huge Papal posters and recently planted seedlings.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
In a joint statement <e1>issued</e1> on the conclusion of the two-day 17th APEC Ministerial <e2>Meeting</e2> Wednesday, ministers from the 21 member economies of Asia-Pacific Economic Cooperation (APEC) said corruption is one of the largest barriers to APEC's road to free trade, further economic development and greater prosperity.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970423.0361

JOHANNESBURG, April 23 , 1997 (AFP)

Police trumpeter asks human rights committee to save his dreadlocks

A rasta-loving policeman who faces disciplinary action for wearing his hair in dreadlocks, has <e1>taken</e1> his case to the South African Human Rights Commission, officials <e2>said</e2> Wednesday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Shqirat <e1>told</e1> reporters that Barghouti's victory in Fatah's internal elections in the West Bank city of Ramallah <t1>last week</t1> would make Israel seriously consider his release.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Chinese President Hu Jintao made the remarks here <t1>Saturday</t1> when <e1>addressing</e1> the opening ceremony of the Beijing Summit of the Forum on China-Africa Cooperation.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The idea of <e1>treating</e1> US companies like Vietnamese companies is really tough for them," the official <e2>said</e2> in Hanoi on Monday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20061221.0221

THE HAGUE, Dec 21 , 2006, 2006

Dutch annual growth comes to 2.7 percent in third quarter

The Dutch economy grew at an annual rate of 2.7 percent in the third quarter compared with output in the same period <t1>last year</t1> and gained 0.7 percent from <t2>the second quarter</t2>, the central statistics office said Thursday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20051217.0110

BAGHDAD, Dec 17 , 2005

charges ///

Political leaders in Iraq and abroad <e1>focused</e1> <t1>Saturday</t1> on a government for the war-torn nation while a high-profile secular candidate charged that an electoral commission had failed in its mission.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Also on <t1>Thursday</t1>, two freight trains <e1>derailed</e1> in North Baltimore, a small town in Ohio.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
They gradually released most of the hostages until the remaining nine, including seven foreigners, were freed <t1>four months</t1> later following a military operation in <t2>May</t2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
With penalty kicks, Binh Duong <e1>took</e1> the lead of 6-5, grabbing the rights to <e2>clash</e2> with Dong Tam Long An Tile in the final game on Monday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
But, she <e1>added</e1>: "We can forgive but we won't <e2>go</e2> to the houses of those who did something."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"We are glad to have this good friend come for a visit," Foreign Minister John Chan said after Gingrich's <e1>arrival</e1> at <t1>10:30 a.m.</t1>

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970413.0291

SARAJEVO, <t1>April 13 , 1997</t1> (AFP)

Bitter-cold Sarajevo offers a glimpse at its old tolerance by Edina Neretljak

The mainly Moslem city of Sarajevo surprised pilgrims visiting for the mass celebrated <t2>Sunday</t2> by Pope John Paul II with its sharp climate but it also showed its beautified face and offered a glimpse at what it used to be, welcoming the guests with tolerance.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The Philippine military reported to Ramos on Tuesday that three armed "frigate-type" Chinese vessels were <e1>spotted</e1> by Air Force reconnaisance aircraft <t1>Friday</t1> off Philippine-garrisoned Kota and Panata islands in the disputed South China Sea chain.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The budget is to be presented in parliament on <t1>Tuesday</t1> amidst <e1>protests</e1> by the main opposition United National Party (UNP).

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Earlier this week, Carls Henric Svanberg, president and CEO of the Sweden-based Ericsson, <e1>announced</e1> at Guangdong's International Consultative Conference on the Future Economic Development of Guangdong (ICCFED) that the company will donate 10 million yuan (1.2 million US dollars) to <e2>promote</e2> the province's mobile network construction, joining hands with Guangdong Mobile.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Cuttently, Talcom-2 satellite had been located at the launching site since September 23, 2005 to undergo several tests," the Business News magazine <e1>quoted</e1> Vice President Director of PT Telcom, Garuda Sugardo, as <e2>saying</e2> in its latest edition.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The contrast between the sorrow of Pinochet's supporters and jubilation of his detractors showed the deep divisions still felt in Chile <t1>16 years</t1> after the <e1>return</e1> to democracy.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
If Gazprom cuts supplies -- as it did briefly in a similar price <e1>dispute</e1> with Ukraine <t1>last January</t1> -- many of Belarus's 10 million people may start the New Year in chilly conditions, while the country's industrial base will suffer a major blow.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Ikeda <e1>visited</e1> South Korea in <t1>January</t1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The fall of Lubumbashi <e1>came</e1> as Zambia <e2>refused</e2> permission to Belgian troops to base soldiers at Ndola on the Zambian side of the border in readiness for an evacuation of foreign nationals from Lubumbashi.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Since its inception in 1989 in response to the growing interdependence among Asia-Pacific economies, APEC has <e1>become</e1> a formidable regional forum acting as the primary regional vehicle for promoting open trade and practical economic and technical <e2>cooperation</e2> in the Asia-Pacific region.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Chirac said, during talks with the leaders of South Africa and Niger here, that France, which has 4,000 troops <e1>deployed</e1> in Ivory Coast, wanted a new prime minister appointed in Ivory Coast soon, a French delegation source <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Indonesian President Susilo Bambang Yodhoyono is scheduled to <e1>witness</e1> the seconds of the launching of telcom-2 satellite from the main controlling station in Cibinong, <e2>said</e2> Garuda.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The astronauts <e1>completed</e1> all their tasks ahead of schedule, NASA <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
A 5,000-strong multinational force led by Italy , could be <e1>deployed</e1> within 10 days, Italy's Defence Minister Beniamino Andreatta <e2>announced</e2> Tuesday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
However the German government <e1>noted</e1> that the atmosphere "had clearly improved" compared with the fractious summit in June when no agreement could be <e2>found</e2> on the issue.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The Assembly, noting that the trade in conflict diamonds remains "a matter of serious international concern, which can be directly linked to the fueling of armed <e1>conflict</e1> ... <e2>reaffirms</e2> its strong and continuing support for the Kimberley Process Certification Scheme and the Kimberley Process as a whole."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Under Kimberly, rough diamonds are sealed in tamper-resistant containers and required to have forgery-resistant, conflict-free certificates with unique serial numbers each time they cross an international border.<e2></e2><e1></e1>

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
23 , 2006 (Xinhua)

ISS crew play golf during space walk

The 14th crew of the International Space Station (ISS) <e1>played</e1> golf during a nearly six-hour space walk in a Russian program on <t1>Thursday</t1>, a Mission Control spokesman said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The latest <e1>delay</e1> came after Taha Yassin Ramadan, a close associate of Saddam and his former vice president, refused to <e2>use</e2> the lawyer the court appointed after his advocate was shot dead.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
She <e1>took</e1> the helm of the central bank in <t1>October</t1> after Pridiyathorn Devakula left the job to join the government as finance minister.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"Afghan firefighters and police have come here soon after the <e1>breaking</e1> of the fire, and firefighters from ISAF (International Security Assistance Force) also <e2>came</e2> just now.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The mission was <e1>intended</e1> to <e2>assess</e2> the situation of victims, address the needs of survivors, and make recommendations on ways "to protect Palestinian civilians against further Israeli attacks".

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The "Muslims in the European Union: Discrimination and Islamophobia" report, <e1>published</e1> on Monday, said incidents against Muslims were "under-documented and under-reported" and <e2>called</e2> on European Union countries to improve their methods for reporting racist crimes.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Jiang <e1>said</e1> that by <e2>promoting</e2> international technological cooperation, China expects more cooperation under the framework of the Kyoto Protocol.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The official Guangzhou Daily newspaper did not <e1>give</e1> the name or title of the official or specify when he had been detained but said he had been arrested for his decision to open fire on the villagers' <e2>demonstration</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970430.0284

MANILA, April 30 , 1997 (AFP)

Philippines lodges formal protest over Chinese vessels

The Philippine foreign ministry <e1>summoned</e1> Beijing's ambassador to Manila on Wednesday to <e2>protest</e2> at the presence of armed Chinese vessels in the disputed Spratlys, an official said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Burns <e1>said</e1> the <e2>meeting</e2> was intended "to underscore the very strong support that the United States gives to democratic change in Serbia."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"I know the leadership in China, with international collaboration, is looking at how the power, the electricity that is <e1>needed</e1> in the future can be <e2>generated</e2>," he said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20061211.0198

GENEVA, <t1>Dec 11 , 2006</t1>, 2006

Israel blocks Tutu's UN mission to Beit Hanun: UN official

Israel has blocked a UN human rights fact-finding mission led by South African Nobel laureate Desmond Tutu into the killing of 19 Palestinians in their homes in the Gaza Strip, a United Nations official in Geneva said <t2>Monday</t2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The association also <e1>expressed</e1> its opposition to the public order ministry's plans to <e2>extend</e2> the permitted usage of the cameras and demands that they immediate cease operating and be removed.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Noting that leaders at September's UN World Summit <e1>pledged</e1> to redouble efforts to eliminate all forms of violence against women and the girls, he <e2>stressed</e2> that this required a change of the mindset, still all too common and deep-seated, that violence against women is acceptable.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
His electoral triumph four years ago <e1>rocked</e1> financial markets that <e2>feared</e2> he would lead the country to economic ruin.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Meanwhile, the Iraqi Central Investigating Court issued an arrest warrant for Mullah Halgurd al-Khabir, accused of masterminding the <t1>August 23</t1> bombing of the UN headquarters in Baghdad that killed 22 people, among other <e1>attacks</e1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970414.0302

KIPUSHI, Zaire-Zambia border, <t1>April 14 , 1997</t1> (AFP)

Zambian backing helped Zaire rebels to take Lubumbashi by Jean-Pierre Campagne

Zairean rebels' success in taking their country's second city Lubumbashi last week, was <e1>due</e1> in part to the goodwill of neighbouring Zambia, according to residents living along the border.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
2 percent of the votes while the 39-year-old former FIFA player of <t1>the year</t1> had 40.8 percent, Frances Johnson-Morris, chairwoman of the National Elections Commission, told a news <e1>conference</e1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
They <e1>suffocated</e1> to death," <e2>said</e2> Bernard Brocvielle, Haute-Marne's chief vet.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
They <e1>joined</e1> four fixed-wing aircraft and a helicopter which resumed <e2>searching</e2> at first light for the glider, four hours after taking off from Omarama, about 119 km northwest of Oamaru.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
During the inspection <e1>tour</e1>, Wen <e2>visited</e2> Liangmianzhen Co.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_20051207.0294

LEIPZIG, Germany, <t1>Dec 7 , 2005</t1>

Pekerman only coach absent for World Cup draw

The coaches of the 32 nations that have qualified for the 2006 World Cup will all be at <t2>Friday</t2>'s draw with the sole exception of Argentina manager Jose Pekerman.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Sierra watched the opening match of the Wheelchair Basketball between local league outfit the Pumas and a <e1>visiting</e1> Angola team, which the Pumas <e2>won</e2> 72-40, at the Vodacom Mandeville Indoor Center in Johannesburg on Thursday evening.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
11 (Xinhua)-- US President George W. Bush on Friday had a telephone discussion with Australian Prime Minister John Howard over Iraq's upcoming elections and the agenda for the Asia-Pacific Economic Cooperation (APEC) informal economic leaders' meeting <e1>scheduled</e1> for <t1>November 18-19</t1>, the White House said.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
However, many ordinary Turkmens <e1>appeared</e1> to be in genuine shock at his death, <e2>saying</e2> they were lost without his guidance and fearful for the generous social policies he instituted.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
"We are glad to have this good friend <e1>come</e1> for a visit," Foreign Minister John Chan <e2>said</e2> after Gingrich's arrival at 10:30 a.m.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
In a statement, Government Spokesman Christodoulos Pashiardis <e1>noted</e1> that Nicosia has been officially informed by Finland that no proximity consultations will take place on the Finnish <e2>initiative</e2> though it will continue its efforts.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The safety watchdog is yet to <e1>find</e1> out if it <e2>holds</e2> a production permit.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Tired, <e1>yawning</e1> after <e2>spending</e2> the whole night travelling aboard buses, their faces and hands red with cold, the pilgrims trod along the closed-to-traffic streets and boulevards decorated by Bosnian state flags, huge Papal posters and recently planted seedlings.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
In his briefing to the assembly, Mogae <e1>highlighted</e1> a 2006 progress report on the Kimberley Process, which concluded that it was <e2>working</e2> well although there were still some problems, particularly in Ivory Coast and South America.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
10 , 2006 (Xinhua)

Former Malaysian PM Mahathir recuperating well

Former Malaysian Prime Minister Mahathir Mohamad, who was admitted to hospital for mild heart <e1>attack</e1>, has been <e2>recuperating</e2> well Friday.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
The region previously held referenda on independence in <t1>1992</t1> and <t2>2001</t2>, but their results were not recognized by the international community.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
14 , 2005 (Xinhua)

Zimbabwe builds dams to tackle water problems in Harare

<e1>Construction</e1> of the Kunzvi Dam is the panacea to the water problems plaguing Harare and its dormitory towns, Zimbabwean Water Resources and Infrastructure Development Minster Munacho Mutezo said on <t1>Monday</t1>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Although Somali negotiations are facing difficulties due to <e1>conflicting</e1> stances, the AL has kept contacts to stop the Somali crisis from any possible escalation and have Somali factions return to negotiations, Moussa <e2>said</e2>.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970414.0251

MARSEILLE, France, <t1>April 14 , 1997</t1> (AFP)

Tapie granted day-release jail

Jailed politician Bernard Tapie left prison <t2>Monday</t2> after a judge granted his request for day-release custody, 10 weeks after he was jailed over a football match-rigging scandal.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Local half-backer Ly Lam Huy and Brazilian striker Antonio of Dong Tam Long An Tile, defending champion of Vietnam's professional league, <e1>scored</e1> one apiece in <t1>the 74th and 84th minute</t1>, respectively, offering their team a final triumph of 2-0 over Tamin Rovers, defending champion of the Singapore league.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
Burns said the meeting was <e1>intended</e1> "to underscore the very strong <e2>support</e2> that the United States gives to democratic change in Serbia."

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT flip direction

Labels:
BEFORE = FIRST earlier than SECOND
AFTER = FIRST later than SECOND
NONE = no clear relation
OTHER = overlap or non-order relation

Sentence:
AFP_ENG_19970415.0304

MOSCOW, April 15 , 1997 (AFP)

URGENT Russia, NATO "getting closer" after Moscow talks

NATO and Russia "<e1>getting</e1> closer" to an accord on future relations, the Russian foreign ministry <e2>said</e2> Tuesday after talks between NATO Secretary General Javier Solana and Foreign Minister Yevgeny Primakov.

Output EXACTLY one label: BEFORE, AFTER, NONE, or OTHER.
DO NOT output anything else.