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

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

Sentence:
Local people were also <e1>called</e1> on to report <e2>deaths</e2> of wild birds to the provincial wildlife protection center.

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

label: OTHER


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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>trial</e1> is <e2>set</e2> to close February 10 after all the suspects have gotten a change to make a final declaration and the judges are expected to hand down a verdict on February 24.

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

label: AFTER


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 I personally <e1>support</e1> the <e2>election</e2> of a young, capable and vigorous writer as the new president," writer Hai Yan was quoted as saying by the China News Service.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 separate statement, the US embassy <e1>said</e1> the Visiting Forces Agreement (VFA) , signed in 1998 between the Philippine and US governments to allow US troops return to the Philippines after they pulled out in 1993, provides the mechanism for US and Philippine authorities to work together to <e2>determine</e2> the facts of the case and to ensure that accused individuals are available to both Filipino and US investigators.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 "biggest losers" were South Korea, Malaysia, where a third of the world's microprocessor production is <e1>tested</e1> and packaged, Singapore, which <e2>makes</e2> 40 percent of the world's disk drives, and Taiwan, which makes eight out of 10 circuit boards and half of all keyboards.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 gunmen, mostly youths, <e1>smashed</e1> windows and furniture inside the terminal -- Gaza's only border <e2>crossing</e2> that bypasses Israel -- while shots were fired into the air and at the building itself.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 mission, known by its French acronym MONUC, <e1>said</e1> that its blue helmets (UN forces), fighting alongside the National Army Force in the DRC (FARDC), <e2>launched</e2> air strikes on the rebel 81st and the 83rd brigades loyal to General Laurent Nkunda.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 prime minister <e1>called</e1> for unity in the deeply divided country and pledged that his government will take up all its responsibilities to <e2>protect</e2> the interests of the people.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 national committee on fighting the bird flu <e1>issued</e1> a decree <e2>urging</e2> all fever hospitals across Egypt to heighten preventive measures against the disease.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 men's program has <e1>varied</e1>, but has become relatively standardized at all major <e2>games</e2> since 1928.

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


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

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

Sentence:
Zimbabwe and Botswana's <e1>co-operation</e1> in wildlife management including the establishment of the Shashe/Limpopo and Kavango/ Zambezi Transfrontier Conservation areas was greatly <e2>appreciated</e2> by the commission which hailed the move as an indication of close cooperation.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 BJP ideologue, Jay Dubashi, <e1>said</e1>: "The panel will meet next week to thrash out an agenda to suggest <e2>changes</e2> in the finance bill.

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

label: BEFORE


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

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

Sentence:
'Monty' <e1>birdied</e1> four, 10 and 14 but bogeyed 11 to be one <e2>shot</e2> back from Kingston, who was 10 under par and leading by a shot until the final hole.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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> traffic has been banned during the day because of the warming temperatures that <e2>increase</e2> the risk of avalanches.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 relics, most are still in <e1>use</e1>, have <e2>witnessed</e2> the earliest pervasion of Western religious culture in the oriental continent as well as its ensuing coexistence with the local culture.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 these were <e1>cancelled</e1> at the last minute by Suffolk Police, prompting media speculation that the investigating team needed to <e2>carry</e2> out more tests.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 head of the British delegation, John Sawers, <e1>said</e1> the European Union proposed a <e2>compromise</e2> over the final declaration that was initially accepted by Washington while the Russians were still considering it.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 bureau's <e1>move</e1> confirmed long-circulating speculation in the market that it would sell copper reserves to <e2>bring</e2> down the runaway copper price.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 April 9, Iraq also <e1>flouted</e1> the UN sanctions in force since its August 1990 invasion of Kuwait and flew more than 100 Iraqis to Saudi Arabia for the start of the <e2>pilgrimage</e2>.

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


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

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

Sentence:
Li Changchun, member of the Standing Committee of the Political Bureau of the CPC Central Committee, <e1>made</e1> the remark when <e2>holding</e2> talks with Philip Mangula, general secretary of the ruling Revolutionary Party of Tanzania.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 body was temporarily <e1>kept</e1> in the then Central Park, which was <e2>renamed</e2> Zhongshan (Sun Yat-sen) Park in 1928.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 EBRD was <e1>set</e1> up in 1991 to <e2>assist</e2> the transition to a market economy in eastern and central Europe and the former Soviet Union.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 could <e1>increase</e1> transit with the volume needed to ensure stable functioning of the economies of our European neighbours," Ukraine's Energy Minister Yury Boyko <e2>said</e2>.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 nine year old boy and his sister <e1>developed</e1> symptoms of pneumonia in xianggang county, central-south Hunan province, last month after <e2>eating</e2> a chicken that had died of bird flu.

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


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

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

Sentence:
Police <e1>opened</e1> an investigation in August last year after a report by state comptroller Eliezer Goldberg found Hanegbi had "trampled on the law" by <e2>appointing</e2> dozens of political supporters to posts while environment minister.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 the last election in 1992, polls <e1>predicted</e1> a Labour <e2>victory</e2> but the Conservatives eventually won.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 breakthroughs in the March talks were China's <e1>undertaking</e1> to grant individual overseas firms import-export rights three years after <e2>joining</e2> the WTO, and its pledge to abide by all WTO rules on intellectual property rights from the moment of its accession.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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, Federal Health Minister Ujjal Dosanjh <e1>provided</e1> Layton with a <e2>proposal</e2> on promoting public health care, which was criticized by Layton as "disappointing" Friday.

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


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

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

Sentence:
AFP_ENG_20061229.0486

BAGHDAD, Dec 30 , 2006, 2006

Rights group condemns Saddam execution

US-based rights group Human Rights Watch (HRW) Saturday <e1>condemned</e1> the hanging of deposed Iraqi dictator Saddam Hussein, saying history would <e2>judge</e2> his trial and execution "harshly".

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


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

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

Sentence:
Gazprom vice-president Alexander Medvedev <e1>told</e1> France's Le Figaro daily on Friday that this amounted to "grotesque blackmail" and <e2>warned</e2> that European clients could face shortfalls.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 , 2006 (Xinhua)

decease

The Palestinians in the West Bank and Gaza Strip <e1>marked</e1> on Saturday two-year anniversary of Palestinian leader Yasser Arafat's <e2>decease</e2>.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 British strength is now around 1,800 which will <e1>fall</e1> to around 1,600 by the end of May, leaving only a few to be withdrawn in the final few weeks before the <e2>handover</e2>.

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


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

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

Sentence:
Under the new law, the federal government <e1>banned</e1> semi-automatics and pump-action rifles and shotguns and offered to buy these weapons from gunowners, <e2>using</e2> a levy on income tax.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 second group of <e1>returning</e1> pilgrims was <e2>expected</e2> at Jodaidat Arar, three kilometres (two miles) from the border, on Saturday.

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


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

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

Sentence:
Regional peacemaker Kenya, which helped form the Somali government in 2004, <e1>asked</e1> Ethiopia to cease military operations, as it announced <e2>plans</e2> to organise a regional meeting to discuss the escalation of the conflict in Somalia.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 government figures for September, 213,000 infected people now <e1>benefit</e1> from a government-funded antiretroviral plan, and 11,000 more <e2>join</e2> each month.

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


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

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

Sentence:
"Albania is home to the internationally renowned archeological sites, such as the Butrint National Park, the country's Stone City of Gjirokastra and its 2500-year-old city of Berati," he <e1>said</e1>, <e2>adding</e2> that Berati is expected to be granted World Heritage site status in 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:
<e1>Joining</e1> UNESCO's Convention Concerning the Protection of the World Cultural and Natural Heritage in 1985, China now has 31 sites on the World Heritage List, the third most next to Italy and Spain, and it is now playing an active role in <e2>protecting</e2> the world heritages.

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


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

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

Sentence:
Under the VFA, US troops who take part in joint exercises in the Philippines are <e1>provided</e1> with special legal protection for actions taken as part of the war games but are <e2>given</e2> less protection for crimes committed while on leave.

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


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

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

Sentence:
However , <e1>cited</e1> by District of Columbia traffic police in
December for <e2>driving</e2> under the influence of alcohol, Farkas  was ordered home and retired.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 Israeli government <e1>admitted</e1> <e2>mistakes</e2> were made in intelligence-gathering and planning, but insisted its commandos used lethal force because activists had attacked them.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 a compromise was reached over OSCE reforms due to start next year, Russia could not <e1>agree</e1> with the US and the European Union on a joint final declaration, which must be unanimously approved by participants before the <e2>end</e2> of the conference.

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


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

Indonesia denies pursuing security pact with Australia

Indonesia <t1>Friday</t1> dismissed a report that it would sign a security pact with Australia during the bilateral meeting scheduled <t2>Monday</t2> on the resort island of Lombok.

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


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

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

Sentence:
European Union foreign ministers <e1>agreed</e1> Monday to <e2>go</e2> ahead with UN resolutions criticising the human rights record of Burma, Zaire, Iraq and Iran despite failing to reach accord on a similar condemnation of China.

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


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

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

Sentence:
Police officials <e1>said</e1> Dar was taken to the blast sites to identify the targets and to confirm his <e2>involvement</e2>.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 literary world has <e1>become</e1> increasingly <e2>diversified</e2> since the 1980s, leaving behind the era when the literary landscape was dominated by several great masters who were admired by an awestruck public.

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


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

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

Sentence:
Zairean President Mobutu Sese Seko will <e1>meet</e1> with rebel leader Laurent Kabila Friday for their first face-to-face <e2>talks</e2> on board a South African ship in a deal brokered by the US mediator, UN Ambassador William Richardson.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 lawmakers and most Nigerians <e1>criticised</e1> the use of hi-tech polling e-machines which store voters' thumbprints and photographs, but <e2>proved</e2> ineffective in a demonstration in October.

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


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

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

Sentence:
2 , 2006 (Xinhua)

East China province reinstates bird flu monitoring

Shandong Province, east China, has <e1>reinstated</e1> round-the-clock bird flu monitoring to <e2>prevent</e2> possible outbreaks as more and more migratory birds fly over the province on their way further south.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 legislation <e1>gives</e1> police powers to "<e2>lock</e2> down" suburbs, close pubs, enforce alcohol bans and confiscate cars.

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


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

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

Sentence:
Bonino <e1>said</e1> EU food and medical aid could be sent to Albania quickly <e2>using</e2> logistical structures established in the former Yugoslavia.

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


text:
You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 have no doubt at all after this meeting ... that the US government will <e1>defend</e1> Hong Kong's freedoms," Lee <e2>said</e2> following his 25-minute talks with Clinton and Vice President Al Gore.

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


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

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

Sentence:
Under the new law, the federal government <e1>banned</e1> semi-automatics and pump-action rifles and shotguns and <e2>offered</e2> to buy these weapons from gunowners, using a levy on income tax.

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


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

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

Sentence:
Everton had called on Mourinho to retract his remarks but the lack of a response from Stamford Bridge <e1>prompted</e1> them to make things official with spokesman Ian Ross confirming: "We will now make a formal complaint to the FA over Jose Mourinho's <e2>remarks</e2> regarding Andrew Johnson."

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