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

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

Sentence:
Tapie, who was <e1>jailed</e1> for <t1>eight months</t1> in February, is expected to resume working during the day after granted the part-time regime under regulations which allows such leniency for first-time offenders jailed for under 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:
The "Muslims in the European Union: Discrimination and Islamophobia" report, <e1>published</e1> on <t1>Monday</t1>, said incidents against Muslims were "under-documented and under-reported" and called on European Union countries to improve their methods for reporting racist crimes.

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


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

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

Sentence:
The team <e1>signed</e1> Christie to a three-year contract this past offseason, but only $3.15 million in salary was <e2>guaranteed</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:
Involved in ultranationalist movements since the early 1940s, Turkes was one of the senior organisers of a military <e1>coup</e1> in 1960, which eventually <e2>led</e2> to the hanging of toppled conservative prime minister Adnan Menderes.

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


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

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

Sentence:
22 , 2006 (Xinhua)

Israel facing physical, moral threats from Iran: Olmert

Israeli Prime Minister Ehud Olmert <e1>said</e1> on Wednesday evening that his country is facing dual threats of physical and moral from Iran, Israeli daily Haaretz <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:
They gradually <e1>released</e1> most of the hostages until the remaining nine, including seven foreigners, were freed four months later following a military operation in <t1>May</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:
Cyprus has been <e1>divided</e1> since <t1>1974</t1> when Turkey militarily intervened and occupied the north of Cyprus following a coup by a group of Greek officers.

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


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

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

Sentence:
1 , 2006 (Xinhua)

House roof collapse kills 1, injures 5 in Pakistan

A house roof collapsed in Pakistan's largest port city Karachi, <e1>killing</e1> a baby and injuring five persons of the family that included her parents and two sisters, local private Geo TV reported on <t1>Wednesday</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:
Democrats elect Senate leadership

<t1>One week</t1> after their <e1>victories</e1> in the midterm elections, U.S.

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


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

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

Sentence:
Taliban militants in Afghanistan have intensified <e1>attacks</e1> against Afghan and foreign troops <t1>this year</t1>, especially by use of suicide attacks.

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


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

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

Sentence:
The index, initiated in <t1>August 1995</t1> and re-based on <t2>Sept.</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:
Although Somali negotiations are facing difficulties due to conflicting stances, the AL has kept <e1>contacts</e1> to stop the Somali crisis from any possible escalation and have Somali factions return to negotiations, Moussa <e2>said</e2>.

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


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

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

Sentence:
"I <e1>told</e1> him things <e2>take</e2> a lot of time in our country too," Rubin 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:
They <e1>reaffirmed</e1> that they would <e2>continue</e2> to look for avenues to effectively address this important issue within APEC and in other fora.

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


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

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

Sentence:
WFP is also <e1>concerned</e1> about the lack of access for UN relief flights to several airstrips in the south of Somalia, which has been <e2>torn</e2> by factional fighting and lacking a functioning central government for the past 14 years.

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


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

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

Sentence:
"We are ready to <e1>break</e1> the current deadlock: each of us is <e2>committed</e2> to moving beyond our current positions in key areas of the (Doha) Round."

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


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

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

Sentence:
Pfizer is asking all clinical investigators involved in the program to <e1>inform</e1> patient participants to stop <e2>taking</e2> the medication immediately.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 operation will start from <t1>this week</t1> as part of a short-term plan of the government and will continue for <t2>one month</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:
Four other men who <e1>assisted</e1> the 42-year-old Fong in the elaborate smuggling operation were <e2>fined</e2> between 3.74 million dollars and 4.9 million dollars each.

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


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

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

Sentence:
"Gode Zone is completely cut off by road to the outside world because of the <e1>flooding</e1>," <e2>said</e2> IRC Country Director David Murphy.

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


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

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

Sentence:
Two supermarket bags containing a foot, an ankle and the head of a woman aged between <t1>35</t1> and 40 were <e1>found</e1> in Havre on April 12.

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


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

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

Sentence:
4 , 2005 (Xinhua)

Greece's lawyers call for removal of Olympic surveillance cameras

The board of the Athens Bar Association on Friday called for complete removal of all the surveillance cameras <e1>installed</e1> for Olympic security <t1>last year</t1> citing the reason of violating civil rights of Athenians.

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


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

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

Sentence:
Political sources <e1>said</e1> the Awami League-led 14 parties are likely to issue a one-month ultimatum for the government from the grand <e2>rally</e2> to concede to their demands.

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


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

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

Sentence:
24 , 2006 (Xinhua)

Nepali gov't constitutes a peace fund

The Nepali government has constituted a peace fund to generate resources from internal and external assistance to <e1>move</e1> ahead the ongoing peace process in the country, local Kantipur daily <e2>reported</e2> 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:
Teammates <e1>restrained</e1> Forston as he pressed his case to <e2>referee</e2> Matt Boland.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 trade unionist and strike leader, he <e1>came</e1> to <e2>symbolize</e2> opposition to the military dictatorship in the 1970s and early 1980s.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 controversy beween China and the United States on the Taiwan issue <e1>revolves</e1> around one point which is US interference," <e2>said</e2> Chinese foreign ministry spokesman Shen Guofang.

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


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

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

Sentence:
Michael Nkambule, just signing with the country's Premier League club SuperSport United, has said his <e1>return</e1> from French team RC Strasbourg was due to his ambition to play for the senior national team, the SAPA news agency <e2>reported</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:
His <e1>announcement</e1> came days after his <e2>return</e2> from a three-week trip to Africa and amid growing criticism from opposition parties angered by his failure to restore democracy in the Himalayan kingdom.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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_19970426.0027

HANOI, April 26 , 1997 (AFP)

Vietnam to tighten security on "state secrets"

Prime Minister Vo Van Kiet has issued a directive calling on all levels of government to tighten vigilance against revealing state secrets, reports <e1>said</e1> <t1>Saturday</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:
Lula <e1>fired</e1> top government and party officials, and <e2>insists</e2> he had no prior knowledge of the wrongdoing.

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


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

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

Sentence:
Lu Xuefeng from CAS, a member of an expedition team in Hoh Xil, <e1>said</e1> that years of research and observation and a recent expedition <e2>found</e2> Tibetan antelopes have special habitat.

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


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

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

Sentence:
South Korea, led by Manchester United star Park Ji-Sung, will fancy their chances in Group G, <e1>opening</e1> their World Cup against first-timers Togo in Frankfurt on <t1>June 13</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:
Speaking to reporters after the election, Reid said Democrats " must <e1>do</e1> everything we can to <e2>move</e2> the country forward.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 more than a suspicion that evidence has not been handed over, people have <e1>colluded</e1> and the police are not being helped," an unidentified prosecution source <e2>told</e2> the newspaper.

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


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

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

Sentence:
AFP_ENG_19970415.0304

MOSCOW, <t1>April 15 , 1997</t1> (AFP)

URGENT Russia, NATO "getting closer" after Moscow talks

NATO and Russia "getting closer" to an accord on future relations, the Russian foreign ministry said <t2>Tuesday</t2> after talks between NATO Secretary General Javier Solana and Foreign Minister Yevgeny Primakov.

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


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

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

Sentence:
Summiteers have also <e1>addressed</e1> how to tackle immigration and the alleviation of poverty to <e2>keep</e2> Africans, tempted to seek better living conditions elsewhere, at home.

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


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

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

Sentence:
Moussa further noted that the AL delegation to the Somali crisis negotiations will <e1>meet</e1> and <e2>discuss</e2> a demand for a fact- finding commission proposed by some Somali parties, before discussions on all aspects of the Somali question.

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


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

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

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

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


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

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

Sentence:
Provincial and city-level police bureaus must <e1>dispatch</e1> inspection teams <e2>led</e2> by officials in public security and transportation departments.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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>decision</e1> <e2>comes</e2> after Pfizer officials were informed that the independent Data Safety Monitoring Board (DSMB) reviewing a morbidity and mortality study for Torcetrapib recommended terminating the trial "because of an imbalance of mortality and cardiovascular events."

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 pace of Dutch growth has practically <e1>doubled</e1> in the <e2>course</e2> of a year, the agency added.

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


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

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

Sentence:
Turkes was also the virtual leader of the ultranationalist Grey Wolves organisation, whose members were <e1>involved</e1> in bloody fighting with extreme leftist groups in the late 1970s, prompting the 1980 military <e2>coup</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:
Sales rose 8% to <e1>$1.15</e1> billion from <e2>$1.06</e2> billion.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 judge made clear that, on the basis of the evidence <e1>presented</e1>, very serious allegations had been made and that it was perfectly proper to take the matter to trial," British Ministry of Defense <e2>said</e2> in a 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:
It is <e1>understood</e1> that the deal will only <e2>affect</e2> DBCM, which were split off from the rest of De Beers during the past 18 months of restructuring at the firm, which mines half of the world's diamonds.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 megacities can be expected to dominate the economic <e1>transformation</e1> of Asia, the quality of life for their residents will be very much related to the quality of their management," ADB <e2>added</e2>, endorsing moves to privatize services such as water and sewerage systems.

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


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

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

Sentence:
Annan, who arrived here <t1>late Monday</t1>, made the remarks at a press conference after <e1>talks</e1> with Egyptian Foreign Minister Ahmed Abul Gheit.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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> the police successfully pined down the men who were <e2>driving</e2> a Toyota Corolla sedan near a shopping center and exchanged fire with them.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 noted that the relations between the EU and the South American Common Market (Mercosur) was one of the most frequently raised topics at the summit, and he had promised to <e1>try</e1> to unblock the free trade <e2>agreement</e2> between the two groups when Portugal takes over EU Presidency in the second half of 2007.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 Lubumbashi, local people <e1>showed</e1> the rebels where to find the soldiers of the elite Zairean Presidential Security Division (DSP) whose men had chosen to resist the rebel advance rather than grabbing what they could and fleeing as the Zairean army had been wont to <e2>do</e2> elsewhere.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 and Iraqi Prime Minister Nuri al-Maliki was put off until <t1>Thursday</t1>, local media reported on <t2>Wednesday</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:
"When they decide to <e1>contact</e1> anyone, they will," the unnamed secretary <e2>told</e2> the television.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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_19970422.0303

TOKYO, April 22 , 1997 (AFP)

Japan's troubled nuclear plant operator to privatise major work

The chief of Japan's scandal-hit state-run nuclear plant operator <e1>said</e1> Tuesday it planned to <e2>privatise</e2> its uranium enrichment and nuclear fuel reprocessing operations following a series of accidents.

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


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

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

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

But while Brazil were certain to win the group, Australia had the benefit of having beaten all three teams previously, and Brazil had <e1>gone</e1> down 1-0 at the 2001 Confederations Cup in South Korea, he <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 sources said Israeli soldiers <e1>opened</e1> fire at a group of Palestinian teenagers in a raid on the village for wanted militants and <e2>injured</e2> four of them.

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


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

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

Sentence:
South African media has suggested that Mbeki and Zuma had been unable to come to an agreement on proposals to deal with tension in party after Mbeki sacked Zuma as the country's deputy president in <t1>June</t1> and Zuma was <e1>prosecuted</e1> on two corruption charges.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 Finnish presidency is <e1>trying</e1> to avert any possible derailment of Turkey's EU accession course, following Ankara's refusal to meet its EU obligations and Cyprus' position that Turkey must do exactly that before accession negotiations are allowed to <e2>move</e2> further on, said Tuomioja.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 dollar <e1>climbed</e1> to as high as 125.85 yen here <t1>Tuesday</t1>, the highest level since January 18, 1993, when the US unit hit 125.86 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:
When the judge said he would tell them to <e1>return</e1> it, Saddam <e2>exploded</e2> into a nationalist speech.

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


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

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

Sentence:
The rebound helped the region as a whole recover from Tuesday's shock when Thailand, trying to protect export earnings from a rising baht, required 30 percent of most incoming foreign funds to be effectively <e1>impounded</e1> for <t1>a 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:
"Harare has been facing a major water shortage and implementation of Kunzvi Dam is the solution," he <e1>said</e1> this while <e2>addressing</e2> a Chinese delegation from Jiangxi Province which is on a five-day visit to the country to explore areas of possible cooperation.

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


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

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

Sentence:
"Fewer official posts would shift the attention of officials from thinking about <e1>getting</e1> a promotion to the actual doing their work," Zhang <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:
Observers in the Burmese capital speculated that he was <e1>granted</e1> favourable <e2>treatment</e2> because he was brother-in-law of Lieutenant General Khin Nyunt, the SLORC first secretary and military intelligence chief.

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


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

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

Sentence:
Rubin <e1>said</e1> his <e2>talk</e2> with Muoi touched briefly on politics, while Muoi had stressed his focus on education.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 is estimated that China will import 130 million tons of crude oil in <t1>2005</t1>, <e1>rising</e1> only six percent year on 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:
dollars) in the <t1>2006-2010</t1> period to build the Yangtze waterway, the Communications Ministry <e1>announced</e1> 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:
"My future has been <e1>talked</e1> about for <t1>the past few weeks</t1> so I do not think I need to add anything else."

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 continent's urban population is forecast to <e1>double</e1> from the current 1.1 billion to 2.5 billion by 2025, by which time Asia will be home to half of the world's people, the Manila-based bank <e2>said</e2> in its annual report released 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 politicians and bureaucrats are accused of <e1>siphoning</e1> off 271-million dollars in government funds meant for buying cattle feed, the Central Bureau of Investigation (CBI) <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:
For the purpose, The EU presidency had prepared the ground for a possible meeting in Helsinki between Cyprus and Turkey before <e1>cancelling</e1> the consultations on <t1>Nov.</t1>

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


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

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

Sentence:
This <e1>means</e1> the rate of growth of oil imports has dropped 30 percent, <e2>said</e2> Lu.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 big setback to US President George W. Bush, the summit concluded on Saturday after adopting a final declaration that failed to clearly <e1>support</e1> the resumption of stalled talks on <e2>establishing</e2> a hemisphere-wide Free Trade Area of the Americas (FTAA), which Washington had demanded.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 border crossing, which was the main exit for people in Gaza, was totally closed before dawn <t1>Friday</t1>, but was partly reopened in <t2>the morning time</t2>, said the report.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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>pointed</e1> out that the council expansion should be in line with the democratization trend of international relations and give priority to <e2>enhancing</e2> the representation of developing countries.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 <e1>leading</e1> the investigation into allegations of "cash for honours", <e2>said</e2> last month that detectives had conducted 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 United Nations on Friday <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 <e2>speak</e2> 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:
James Alix Michel on Monday <e1>arrived</e1> at Haikou, capital city of south China's Hainan Province, and started a 3-day <e2>visit</e2> to Hainan.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 total market value of <e1>circulating</e1> stocks on the Shenzhen securities market is 664 billion yuan, 2.43 percent up from <t1>a week 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:
Authorities <e1>said</e1> the university will not compromise their graduating qualifications for astronaut's standing, noting that the astronauts must pass exams and oral defense to <e2>acquire</e2> degrees.

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


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

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

Sentence:
Kondo also <e1>said</e1> Donen planned to <e2>transfer</e2> its nuclear fuel reprocessing functions now undertaken at a reprocessing plant in Tokaimura, Ibaraki Prefecture, northeast of Tokyo, into private hands.

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


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

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

Sentence:
Iran's foreign ministry spokesman Hamid Reza Asefi also <e1>said</e1> Iran's <e2>response</e2> to such an attack would be "devastating and unbearable".

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


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

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

Sentence:
Seventy-one countries have now signed on to Kimberley and agree to buy and sell only among fellow members.<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:
5 , 2005 (Xinhua)

At least six killed in self-made bomb blast in Pakistan

At least six people were <e1>killed</e1> when a bomb they were making exploded in Pakistan's tribal region near the Afghan border on Saturday, officials and locals <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 UN Security Council also <e1>called</e1> for "the rapid formation of a representative government" and <e2>stressed</e2> "the importance of inclusiveness, dialogue and national unity as Iraq's political development moves forward."

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 also <e1>bans</e1> electronic gaming facilities possessing gamble functions in entertainment places, and the <e2>use</e2> of pirated audio and video products.

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