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:
"APEC economies would continue to <e1>make</e1> contribution toward the successful outcome of the WTO DDA negotiations and that the APEC Geneva Caucus must redouble its collective efforts to advance the negotiations in all areas of the Doha Development Agenda," the ministers <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:
Fortson, who tossed a chair that nearly <e1>hit</e1> a fan following an ejection last season, <e2>dumped</e2> a water cooler on his way into the locker room.

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 market <e1>lost</e1> 15 percent <t1>Tuesday</t1>, at 23 billion dollars the biggest one day drop by value in the 31-year history of the bourse.

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)

Zimbabwe issues long-term land lease agreements to farmers

Zimbabwean President Robert Mugabe has <e1>presented</e1> 99-year land lease agreements to 125 large-scale commercial farmers, confirming the government's <e2>commitment</e2> to ensure that lands return to the hand of its rightful owners, the majority Zimbabweans, Newsnet reported on 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:
7 , 2006 (Xinhua)

President

Visiting Portugal's President Anibal Cavaco Silva <e1>said</e1> on <t1>Tuesday</t1> that the excellent Portugal-Brazil relations will continue through the second administration of Brazil's President Luiz Inacio Lula da Silva.

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 high-profile US support also <e1>comes</e1> at a crucial time when Serbia prepares for key legislative and presidential elections at <t1>the end of the year</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 US embassy in Manila said the US military is <e1>making</e1> a separate <e2>investigation</e2> into the case.

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 in Asia, Tokyo's Nikkei-225 index <e1>lost</e1> 0.53 percent at 15,173.07 points in the third successive fall, as a firmer yen led to a further dumping of exporter shares, dealers <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:
Several thousands of people, dressed in red T-shirts, symbolic for Union of Gabonese People Party, accumulated in the capital's Rio district in the afternoon, dancing and <e1>singing</e1> to <e2>show</e2> their support for Mambounbou.

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:
"As we go to vote <t1>tomorrow</t1>, we will be making a critical decision that will <e1>impact</e1> on the current and future generations.

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:
3 , 2005 (Xinhua)

British soldiers acquitted of killing Iraqi teenager

Seven British soldiers <e1>accused</e1> of beating an Iraqi teenager to death with rifle butts were acquitted on <t1>Thursday</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 two sides finally reached a <e1>compromise</e1> that Israeli and Palestinian security officers will co-monitor the traffic at Rafah by remote-control cameras in a control room a few kilometers away from the <e2>crossing</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 21-year-old international finished ahead of Benfica striker Nuno Gomes, the winner of the award <t1>last year</t1>, and Chelsea coach Jose Mourinho, who <e1>won</e1> in 2004.

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:
Montealegre, who was Washington's favored candidate, <e1>refused</e1> to <e2>concede</e2> defeat and insisted he would force a runoff vote next 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:
Humanitarian cases and VIPs will be allowed to <e1>cross</e1> the border <t1>Friday</t1>, the radio 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 International Atomic Energy Agency (IAEA) in September <e1>found</e1> Iran in non-compliance with the nuclear Non-Proliferation Treaty, <e2>paving</e2> the way for the matter to be referred to the UN Security Council if Iran does not halt nuclear fuel work and cooperate fully with an IAEA investigation.

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 circular <e1>issued</e1> by the ministry, local police bureaus were <e2>required</e2> to launch immediate examinations of all vehicles and drivers involved in school transport.

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 his <t1>weekly</t1> radio address on <t2>Saturday</t2>, Thaksin said that Thailand would buy electricity totaling 924 megawatts generated from this dam project annually upon its completion.

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_20061222.0209

TOKYO, Dec 22 , 2006, 2006

ATTENTION - ADDS quotes by Abe ///

Japan <e1>urged</e1> Russia on Friday to be "responsible" but <e2>said</e2> it was confident it would receive gas supplies as planned after Moscow took control of the massive Sakhalin-2 project from British and Japanese companies.

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 was imprisoned and barred from active politics after another military coup in <t1>1980</t1>, but regained his political rights in a <t2>1987</t2> referendum.

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:
13 , 2006 (Xinhua)

Russia urges Georgia, West not to belittle South Ossetia referendum

Russia on <t1>Monday</t1> <e1>called</e1> the referendum on independence for Georgia's breakaway region of South Ossetia a "milestone" and urged Georgia and Western countries not to underestimate its importance.

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 week, two lawyers <e1>hired</e1> by the committee -- one Republican, one Democrat -- said they <e2>wanted</e2> to look into three charges relating to voter fraud before making a recommendation on a full-scale investigation.

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 <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:
Earlier <t1>this month</t1>, the company said it expected to break even for <t2>the quarter</t2> on sales of $530 million.

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 previous <e1>session</e1> was <e2>dominated</e2> by Saddam Hussein's complaint to the judge that his American guards had taken away his pen and paper.

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:
Gotovina's arrest raised the pressure on authorities in Bosnia's Serb entity and neighbouring Serbia-Montenegro to bring about the arrests of Karadzic and his wartime military chief Ratko Mladic, who were both <e1>indicted</e1> by The Hague-based UN war crimes tribunal <t1>more than 10 years ago</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:
PRI19980205.2000.1998
 NEWS STORY

 Thousands of people in Germany have been <e1>demonstrating</e1>
<t1>today</t1> against the high level of unemployment in the country.

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)

Xinhua international news advisory -- Nov.23

The following are some of the major international news stories scheduled to be <e1>covered</e1> or pursued by Xinhua on <t1>Thursday</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:
During their two-day <e1>meeting</e1>, the APEC ministers <e2>finalized</e2> the wording of statements for the Economic Leaders'Meeting slated 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:
Emile Heskey had <e1>given</e1> the visitors the lead before Tamas Priskin <e2>headed</e2> an equaliser for Watford.

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:
President George W. Bush said Wednesday that Defense Secretary Donald Rumsfeld was <e1>stepping</e1> down, one day after Democrats won control of the House of Representatives in the midterm <e2>elections</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:
Cyprus government spokesman Christodoulos Pashiardis <e1>told</e1> the press that the failure will be an unpleasant development which the Republic of Cyprus would not be <e2>responsible</e2> for in the least and the responsibility cannot be allocated to all involved to provide a sense of balance.

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 coming visit by WTO secretary general Renato Ruggiero would "allow the two sides to get to know each other better and the WTO can <e1>take</e1> the opportunity to see what China thinks and does," Shen <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:
John Yates, the Metropolitan Police officer leading the investigation into allegations of "cash for honours", <e1>said</e1> last month that detectives had <e2>conducted</e2> 90 interviews.

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 residency registration system is also expected to be reformed, to ensure the free flow of labor and <e1>provide</e1> equal employment services to local and rural laborers, <e2>said</e2> Tian.

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:
President Kibaki, in a televised address late Sunday <e1>called</e1> on his countrymen to vote for the proposed constitution, <e2>sparking</e2> protests from his rivals and lawyers, who accused him of breaching electoral laws by campaigning after the campaign period elapsed.

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 euro also hit the highest level since its launch in <t1>1999</t1> against the Japanese unit, <e1>climbing</e1> to 141.91 yen.

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_20061227.0414

NEW YORK, Dec 27 , 2006, 2006

Yankees sign Japanese pitcher Igawa to five-year deal

The New York Yankees unveiled Major League Baseball's latest Japanese import on <t1>Wednesday</t1>, <e1>announcing</e1> they have signed lefthanded pitcher Kei Igawa to a five-year contract.

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_20061227.0414

NEW YORK, <t1>Dec 27 , 2006</t1>, 2006

Yankees sign Japanese pitcher Igawa to five-year deal

The New York Yankees unveiled Major League Baseball's latest Japanese import on <t2>Wednesday</t2>, announcing they have signed lefthanded pitcher Kei Igawa to a five-year contract.

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 third car was also <e1>seized</e1> by ANA after finding the direct relation with the first two cars although there is no explosive inside, and the three persons in the car were arrested afterwards," spokesperson Zahir Azimi <e2>told</e2> 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:
"Therefore, the country would <e1>continue</e1> <e2>undertaking</e2> these two operations."

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:
8

A lawyer for ousted Iraqi president Saddam Hussein's codefendants was killed and another injured when gunmen opened fire at their car in Baghdad on <t1>Tuesday</t1>, police <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:
This process is now complete and those soldiers still in the Army will now <e1>return</e1> to Regimental duty," <e2>said</e2> the statement.

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:
An all-day ticket will cost 15 euros, and the three-day fare will <e1>rise</e1> to 30 euros, the agency <e2>said</e2>, quoting a statement from the Venice transport authority.

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:
Ruggiero is due to visit China from <t1>Friday</t1> until April 23 for further <e1>negotiations</e1> on the country's entry into the WTO.

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:
Iraqi Shiites and Sunni Arabs <e1>staged</e1> rallies throughout Iraq on <t1>Saturday</t1> to champion their legislative candidates as the country emerged from a three-day security lockdown.

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 this tournament will give me a good chance to <e1>look</e1> at some of the guys I think are fighting for places," Sierra <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:
But a photograph of soccer fans <e1>watching</e1> the draw live early Saturday morning Sydney time published in The Sun-Herald <e2>told</e2> a different story -- all pictured had their heads in their hands or looks of anguish on their faces.

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 chain of finds <e1>began</e1> on <t1>March 22</t1> with nine garbage bags in the suburb of Couesmes, containing the limbs of three women.

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 attack, and this had enabled doctors to <e2>dilute</e2> 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:
PRI19980205.2000.1998
 NEWS STORY

 Thousands of people in Germany have been demonstrating
<t1>today</t1> against the high <e1>level</e1> of unemployment in the country.

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:
25 , 2005 (Xinhua)

Caribbean, L. American states to unite Chinese friendship societies

Some 20 countries in Latin America and the Caribbean will unite their Chinese friendship societies into a new regional federation for friendship with China on <t1>Saturday</t1>, Guillermo Penfold, head of the Foundation to Develop Relations with the Chinese People, told Xinhua on <t2>Friday</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 premier <e1>made</e1> the remarks during a recent two-day inspection <e2>tour</e2> of Guangxi ahead of the opening of the China-ASEAN Business and Investment summit, which kicked off here on 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:
"I issue a final and sad plea for wisdom and magnanimity to <e1>prevail</e1>", he <e2>said</e2>, according the ANSA news agency.

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 <e1>said</e1> his country supported China to play a critical role in <e2>solving</e2> the nuclear issue on the Korean Peninsula, and both countries will make efforts to achieve the peaceful settlement of the issue by strengthening consultation and coordination.

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 resolution also recognized that the certification can help ensure that UN Security Council resolutions containing sanctions on the trade in conflict diamonds are carried out, while helping to prevent future conflicts.<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:
The <e1>fair</e1> is also <e2>holding</e2> a series of seminars on digital movie development and China's audiovisual development strategy.

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_19970410.0659

TOKYO, <t1>April 11 , 1997</t1> (AFP)

Moderate quake shakes central Japan

A moderate earthquake measuring 4.5 on the Richter scale shook Tokyo and surrounding areas <t2>Friday</t2> but no casualties or damage had been reported, the meteorological agency 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:
In Paris, French shares <e1>fell</e1>, <e2>tracking</e2> declines in most of Europe's main markets as a drop in the price of crude hit oil companies and the CAC 40 index was quoted 31.02 points lower, or 0.

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>Thursday</t1>, Democrats would elect their House leadership, and on Friday, Republicans would <e1>select</e1> their leadership in House.

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 <e1>blamed</e1> the <e2>attack</e2>, which took place Wednesday, on "terrorist organisations who do not want Afghanistan's stability".

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:
Skipper Li Weifeng went close on <t1>87 minutes</t1> to head wide a Wang Liang's fine corner, which <e1>was</e1> the only highlight of the second half.

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 <e1>attack</e1> was said to have taken place three weeks after formal hostilities in Iraq had <e2>ceased</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:
29

Pollution slick on NE China river to arrive at downstream city Saturday

China's increasing energy demand poses no threat to world market: official

USAID official: China becomes surging power in international aid

China Focus: Neighboring China, Mongolia keen on enhancing relations

Simplified customs formalities better for Sino-Greek cooperation: Greek offcial

China focus: China to moderate its high-speed economic growth

Residents <e1>advised</e1> against eating fish from China's polluted Songhua river in two months

China, Britain <e2>seek</e2> closer science, technology cooperation in rural areas

Grass-roots CPC members to go through self-improvement education

China Exclusive: Chinese army guard of honor first wins over infringement case

Poultry culling ends in Inner Mongolia bird flu-hit city

Judge brought to trial over misconduct involving millions in E.China

WHO experts investigate second human death case of bird flu in E. China province

China spreads AIDS knowledge to train passengers

China calls for int'l aid to post-quake Pakistan against freezing winter

Roundup: death toll of NE China coal mine blast rises to 146, rescue efforts continue for the last five missing

Survey: Chinese mainland sees increasing workers from Hong Kong

Mainland welcomes HK scientists to participate in its space undertakings: official

Feature: HK youngsters' space dream lightened by Shenzhou-6

WHO experts investigate China's first human bird flu case

Roundup: Songhua River pollution belt moves downstream toward Tonghe County

Mongolian President visits Tianjin

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 Socceroos earned their first spot at the World Cup in <t1>32 years</t1> in <t2>November</t2> when they beat Uruguay in a dramatic 4-2 penalty shoot-out win after extra time.

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:
President George W. Bush said Wednesday that Defense Secretary Donald Rumsfeld was stepping down, <t1>one day</t1> after Democrats <e1>won</e1> control of the House of Representatives in the midterm elections.

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 rural areas realized 200 billion yuan (24.6 billion US dollars) in value-added output in <t1>the first three quarters</t1>, up 19.4 percent from the same period of <t2>last year</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:
In Solo, PPP supporters <e1>clashed</e1> with security members on Saturday, leaving at least 20 people injured while in nearby Klaten, a Golkar convoy was pelted by stones by pro-PPP villagers on Sunday, the Media Indonesia daily <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:
"We know it has been a disappointing season but all we can do is try to <e1>make</e1> things better from now on," <e2>said</e2> Hamburg coach Thomas Doll.

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 2006 budget <e1>represents</e1> an <e2>increase</e2> of 776 billion kwacha ( about 194 million dollars) from the 2005 budget which stood at 9, 357 billion kwacha (2.3 billion dollars).

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:
Moreover, Latin America has been <e1>complaining</e1> that the United States neglected the region due to the Iraq <e2>war</e2> and the war on terrorism.

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:
While few deaths occurred during the vote, ongoing <e1>instability</e1> in Iraq was underlined by a mortar <e2>attack</e2> Friday that killed four children playing football and an Iraqi soldier near the western town of Haditha.

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:
Despite the hijackings, WFP's operations have <e1>continued</e1>, with 1, 555 metric tons of food <e2>reaching</e2> nearly 150,000 people in Jilib and Buale districts in the past two weeks, and a further 830 tons set to be distributed to 78,000 beneficiaries in Sakow district.

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:
There is steward awareness among Chinese leadership, particularly those who are <e1>looking</e1> at future economic development power of China," he <e2>told</e2> Xinhua Wednesday during a major United Nations climate change meeting being held 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:
The Independent Electoral Commission of Iraq cautioned that ballots from <t1>Thursday</t1>'s legislative poll were still being counted and official results would not be available before <t2>the end of the year</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:
11 (Xinhua)-- US President George W. Bush on <t1>Friday</t1> <e1>had</e1> 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 scheduled for November 18-19, 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:
A total turnover of 241 million rupee (2.41 million US dollars) was recorded during <t1>the day</t1> with a volume of 12.51 million shares being <e1>traded</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:
"In <e1>departure</e1> from previous expos, the coming expo will highlight man's attitudes towards the nature, society and the future," <e2>said</e2> the deputy director.

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 few weeks after taking the reins of government from his brother on July 31, Raul Castro <e1>hinted</e1> at some openness to dialogue with the United States in an interview with the Communist Party newspaper Granma, suggesting ties might be <e2>normalized</e2> on equal terms.

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, the Israel Radio <e1>reported</e1> that intelligence information indicates that a terror organization was planning to carry out an <e2>attack</e2> at the Erez terminal.

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:
Former Test off-spinner Pat Symcox joined the <e1>criticism</e1> when he said South African captain Graeme Smith was so busy dealing with non-cricket issues that he did not have time to <e2>concentrate</e2> on his game.

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:
To <e1>tackle</e1> the problems, the government plans to develop labor-intensive industries and sectors, such as the service industry, private sector and medium and small enterprises, Tian <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 rebound <e1>helped</e1> the region as a whole recover from Tuesday's shock when Thailand, trying to protect export earnings from a rising baht, <e2>required</e2> 30 percent of most incoming foreign funds to be effectively impounded for a year.

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:
WWF <e1>said</e1> many more species waited to be <e2>discovered</e2> in Borneo, which is divided between Brunei, Indonesia and Malaysia, but expressed deep concern about the loss of equatorial rainforest, which is being cleared for rubber, oil palm and pulp production.

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 Congress made the <e1>promise</e1> to the president as the 13-party United Front <e2>intensified</e2> its search for a new head to become the country's next -- and 12th -- prime 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:
A US federal judge <e1>rejected</e1> the request, CBS news <e2>reported</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 NAC said it was receiving 250,000 US dollars for anti- retroviral drugs <t1>every month</t1> from the central bank to <e1>cater</e1> for those who cannot survive without the drugs.

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_19970407.0123

SEOUL, <t1>April 7 , 1997</t1> (AFP)

Seoul shares close 1.1 percent higher

Share prices <e1>rose</e1> 1.1 percent on the Korea Stock Exchange Monday as local institutional investors went on a buying spree ahead of a planned rise in the foreign shareholding ceiling, dealers 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:
7 , 2005 (Xinhua)

Sri Lankan gov't budget not election related: official

Sri Lanka's government budget for <t1>the year 2006</t1> would be a "pro poor, pro-growth" budget and not election related, the Finance Minister Sarath Amunugama said here <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:
In a joint statement <e1>issued</e1> on the conclusion of the two-day 17th APEC Ministerial Meeting Wednesday, ministers from the 21 member economies of Asia-Pacific Economic Cooperation (APEC) <e2>said</e2> 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:
"The trend, if <e1>goes</e1> unchecked, would also affect Afghan law enforcing personnel to follow the same policy in tackling law breakers," the analyst <e2>opined</e2> referring to the training by US instructors to Afghan law enforcing agencies particularly the police.

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:
"Amid on-going interest rate differentials, the weaker yen was re-confirmed at the G7 <e1>meeting</e1> and the market is prone to sell the yen given lower interest rates in Japan," she <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:
Gronholm <e1>won</e1> three of <t1>Saturday</t1>'s six stages around Waikato to head into Sunday's final leg with a commanding 50.3 second lead over his Finnish team mate Mikko Hirvonen.

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, who will turn 81 next month, was <e1>rushed</e1> to the NHI early Thursday morning after <e2>complaining</e2> of chest pains.

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 blamed the attack, which <e1>took</e1> place <t1>Wednesday</t1>, on "terrorist organisations who do not want Afghanistan's stability".

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:
British Ambassador to Lebanon James Watt, whose country is <e1>holding</e1> the rotating presidency of the EU, <e2>told</e2> reporters after the meeting that the EU firmly supports the UN resolution and encourages the Lebanese government to take action in that aspect.

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:
CBI director Joginder Singh took the decision to <e1>prosecute</e1> late <t1>Sunday</t1> after "considering evidence and material on record and reports of other investigating officers," a CBI 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:
Reid has <e1>served</e1> as the Senate minority leader for the past two years, since his predecessor, Tom Daschle of South Dakota, <e2>lost</e2> his reelection bid in 2004.

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 April 2005, China <e1>launched</e1> a People's War on Drugs, calling on the public to help rehabilitate drug addicts and <e2>offering</e2> rewards for information that led to the arrest of traffickers.

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 Chinese president <e1>said</e1> both countries should cement their cooperation in energy, push forward <e2>talks</e2> on China-Australia free trade agreement (FTA), and intensify consultation on international and regional issues.

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:
Congress spokesman Ved Prakash said: "We have told the United Front (government) that if it does not <e1>come</e1> to a viable solution before <t1>11 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:
The righthander is 44-26 with a 3.95 ERA over the past three years, posting consecutive 16-win campaigns in <t1>2004</t1> and <t2>2005</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 regional police have cracked 13 drug trafficking cases involving 53.1 kilograms of heroin since <t1>last January</t1>, nearly three times the total of <t2>last year</t2>, according to Jin.

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:
Tian <e1>predicts</e1> that ten million new laborers will <e2>flock</e2> to urban areas every year.

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 21-year-old international <e1>finished</e1> ahead of Benfica striker Nuno Gomes, the winner of the award last year, and Chelsea coach Jose Mourinho, who <e2>won</e2> in 2004.

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, who was in charge of the country's high-level appointments, said since <t1>1982</t1> a new generation of higher-educated, less ideological officials have replaced the older cadres who had earned their jobs <e1>fighting</e1> for the socialist cause.

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 admitted last week that it had also failed to <e1>report</e1> "11 very low levels of leaks" at Fugen in <t1>the past three years</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_20061230.0244

ROME, Dec 30 , 2006, 2006

Venice's 'vaporetti' water buses to hike fares in February

The cost of a single ride on a "vaporetto" -- the water bus that is Venice's main form of public transport -- will rise 20 percent to six euros (eight dollars) on <t1>February 1</t1>, the ANSA news agency reported <t2>Saturday</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:
28 , 2006 (Xinhua)

Iraqi governor survives suicide attack

Abdul-Rahman Mustafa Fattah, governor of Iraq's northern province of Kirkuk, escaped unscathed a suicide <e1>bombing</e1> attack on Tuesday that killed one person and wounded 20 others, local police <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:
XIN_ENG_20051125.0145

BEIJING, Nov 25 , 2005 (Xinhua)

examinees

Some 365,000 people around China have applied to attend the national civil servant qualification exam for 10,282 posts available <t1>next year</t1> in central government departments, the Ministry of Personnel said <t2>Friday</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:
"Difficulties in <e1>negotiations</e1> with the Russian government had <e2>increased</e2> uncertainty over Mitsubishi and Mitsui and Co's investment in the Sakhalin-2 project," it 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 Tibetan antelopes are targeted by poachers for use of their cashmere, causing their population to <e1>decline</e1> from several million to less than 100,000 in <t1>the past two decades</t1>, sources say.

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:
26 , 2006 (Xinhua)

Nigeria's communities, oil companies sign agreement on restarting oil production

Ijaw communities in Nigeria's southern state of Delta on <t1>Saturday</t1> reached an agreement with oil companies operating in the area to <e1>restart</e1> operations.

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:
McNealy said the issues that hurt Sun's performance earlier this year are now " largely" behind the firm, and he indicated that Sun's profitability should <e1>increase</e1> throughout <t1>the fiscal year</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:
On Thursday, Democrats would <e1>elect</e1> their House leadership, and on Friday, Republicans would <e2>select</e2> their leadership in House.

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 respect of free choice, we ask the president to <e1>exercise</e1> reason," <e2>said</e2> LSK Chairman Tom Ojienda.

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_20061202.0469

WASHINGTON, Dec 2 , 2006, 2006

ATTENTION - ADDS quotes, detail, background ///

The United States <e1>said</e1> Saturday that the Cuban regime must take steps toward democracy before Washington would consider any "deepening" of bilateral relations, responding to Raul Castro's <e2>invitation</e2> to come to the negotiating table.

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 EU has <e1>limited</e1> itself to calling on the two parties to <e2>reach</e2> a deal that does not threaten European supplies, while the authorities in France and Germany say they are not worried by the prospect of shortages.

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:
Bachelet, who along with her parents was <e1>detained</e1> and tortured by Pinochet's regime, <e2>refused</e2> to give Pinochet full state honors with a national mourning period.

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 United Nations on <t1>Friday</t1> <e1>marked</e1> the International Day for the Elimination of Violence against Women with calls for states to take legal action against the global scourge, for societies to change a mindset that permits such abuse, and for women themselves to stand up and speak out against a culture of shame.

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:
16 , 2006 (Xinhua)

Wide-scale search for NZ missing glider

Seven more helicopters have joined the <e1>search</e1> <t1>Thursday</t1> for a powered glider with two people aboard that went missing during a competition in South New Zealand late Wednesday afternoon.

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'll <e1>show</e1> them more about Chinese culture when I grow up," he <e2>said</e2> in fluent Chinese.

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 <e1>said</e1>: "What I will be looking to do is <e2>increase</e2> the squad in January.

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:
27 , 2006 (Xinhua)

Tax cuts, investment promotion proposed for Thai southern provinces

The Thai government plans to <e1>reduce</e1> taxes on both personal income and corporate tax, as well as insurance fee for entrepreneurs in five southern provinces, the state-run news agency <t1>Monday</t1> announced.

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 <e1>rebounded</e1> <t1>Wednesday</t1> after the military-installed government was forced to dump draconian capital controls that sparked a 15-percent collapse on Tuesday, dealers 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 company has reported declines in operating profit in <t1>each of the past three years</t1>, despite steady sales <e1>growth</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:
Iranian chief nuclear negotiator Ali Larijani Tuesday <e1>rejected</e1> the EU call to stop the uranium conversion facilities and <e2>condemned</e2> the EU for having gone extremes and adopting journalistic hype toward the Iranian nuclear issue, the official IRNA news agency reported.

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)

Security Council expansion should address Africa's concerns: Chinese envoy

The Security Council expansion should give priority to increasing the representation of developing countries in the United Nations' most powerful organ, particularly African nations, Chinese Ambassador to the UN Wang Guangya <e1>stressed</e1> on <t1>Thursday</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:
Violence has swept several Java towns in the past month, much of it connected to rivalry between the PPP and President Suharto's Golkar party, ahead of the general elections on <t1>May 29</t1> with campaigning due to start on <t2>April 27</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:
China's <e1>candidacy</e1> to the General Agreements on Trade and Tarrifs (GATT) which preceded the WTO, was blocked because of differences on the criteria for <e2>admission</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:
Bush and al-Maliki are <e1>expected</e1> to discuss the worsening security situation and ways to stem mounting violence in the <e2>war-</e2> torn country.

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:
Eleven workers who were sorting impurities from a coal heap were <e1>buried</e1> when the heap <e2>collapsed</e2> at 9:47 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:
According to the report released by the Forum for Women, Law and Development (FWLD), a non-governmental organization, crime against women in Nepal, especially domestic violence, increased to 922 in 2003-2004 from a total of 569 reported <e1>cases</e1> of domestic <e2>violence</e2> in the year of 2002-2003.

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:
"It's a wonderful decision and it's good that the ASEAN countries have been able to persuade Myanmar to make this visit and I hope it will be a very meaningful <e1>visit</e1> which will clarify all aspects," he <e2>told</e2> AFP.

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 <e1>involvement</e1> of governments, which are able to <e2>grant</e2> low-interest loans or guarantees, is a prickly issue given the ongoing trade dispute between the United States and the European Union.

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 two hour-long informal retreat, the leaders <e1>discussed</e1> issues relating to the World Trade Organization (WTO) and the Doha Development Agenda (DDA), and issues on Regional Trade Agreements and Free Trade Areas, <e2>said</e2> a press release issued after the meeting.

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:
Poultry Association of Zambia executive director Mathew Ngosa <e1>said</e1> the ban on the importation of poultry products still <e2>stands</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:
Facing anemic poll numbers at home over his Iraq policy, US President George W. Bush has <e1>trumpeted</e1> the election as a victory for the Iraqi people and US policy in Iraq and is <e2>hoping</e2> a strong government will quickly coalesce.

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