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

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

Sentence:
Despite the difficulties <e1>presented</e1> by these issues, Rockwell <e2>said</e2> the current atmosphere was overwhelmingly optimistic.

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


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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 said ZANU-PF was considering bringing forward the end of the current parliamentary term from 2010 to 2008 to hold both presidential and parliamentary elections that year or stage the presidential <e1>elections</e1> in <t1>2008</t1> but allow the winner two years and hold presidential polls again two years later.

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


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

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

Sentence:
25 , 2005 (Xinhua)

Factbox of women's all-around world champion Chellsie Memmel

Following is the factbox of American Chellsie Memmel, who <e1>won</e1> women's all-around at the 38th gyamnastics world championships here on Friday:

Chellsie Memmel, the United States

Place of birth: West Allis, WI, the United States

Date of birth: Junuary 23, 1988

Height: 154 cm

Weight: 50 kg

Club: M Gymnastics in the United States

Coach: Andrew Memmel, her father, and Laurie Glazer

Idol: her parents

A steady performer, she helped the American team win its first world team title in <t1>2003</t1> and was a co-champion on uneven bars that 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:
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.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 proposed international force's role would be strictly confined to <e1>protecting</e1> the humanitarian convoys, Bonino <e2>noted</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:
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.


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

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

Sentence:
"<t1>Today</t1>, my officers and the police are <e1>working</e1> to contend with some 200 groupings or networks, totaling over 1,600 identified individuals who are actively engaged in plotting or facilitating terrorist acts here and overseas," she 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:
Dutch diplomat Rienko Wilton told AFP that <t1>Friday</t1>'s <e1>demonstration</e1> was "very peaceful."

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


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

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

Sentence:
Within hours of Saddam's dawn hanging in Baghdad, a car bomb <e1>exploded</e1> in a fish market in the central Iraqi Shiite city of Kufa, killing at least 31 people, but it was not immediately clear whether the <e2>attack</e2> represented the first reprisal from his supporters.

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


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

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

Sentence:
Chinese Taipei, who beat Japan 89-78 in the preliminary round, will <e1>play</e1> the final on <t1>Sunday</t1>, while South Korea plays against China for the bronze.

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


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

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

Sentence:
Some 1,000 police were called in to Dusseldorf to <e1>monitor</e1> the <e2>demonstration</e2>.

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


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

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

Sentence:
The friendly exchange and cooperation between China and Japan <e1>witnessed</e1> sound progress since the two countries normalized diplomatic relations 33 years ago, Jia <e2>said</e2>, noting it is worthy to be cherished and preserved by the two sides.

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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 ADB's annual Asian Development Outlook report <e1>said</e1> the <e2>upturn</e2> would be good news for Asia, whose export success in the sector helped establish "from virtually nothing" the world's newest economic miracles.

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


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

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

Sentence:
The latest arrest warrant by judge Victor Montiglio is linked to the disappearance of two security guards of socialist president Salvador Allende, who committed <e1>suicide</e1> during the <t1>September 1973</t1> military coup.

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


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

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

Sentence:
More than 10,000 teachers launched their strike at the start of <t1>the month</t1> to press demands for a 200 percent pay hike and for the reinstatement of 19 teachers dismissed over a warning strike held <t2>the previous 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:
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.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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 is the first indigenous bishop since Vanuatu's catholic mission <e1>arrived</e1> here <t1>more than 110 years ago</t1>.

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


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

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

Sentence:
Group leader Ron Gould said here on Wednesday that both the government and ECZ would abide by the recommendations that would reflect in their report to be <e1>handed</e1> to ECZ in <t1>two weeks time</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:
"More and more people are <e1>moving</e1> from passive sympathy towards active terrorism through being radicalized or indoctrinated by friends, families or organized training events here and overseas," she <e2>added</e2>.

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


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

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

Sentence:
"We looked to the United States, we
<e1>expected</e1> you to <e2>have</e2> the moral edge," says Nasser Tahboub, a
Jerusalem-born Jordanian who has an American wife and a
doctorate in political science from Duke University.

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


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


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

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

Sentence:
Martin has promised to call an election within 30 days after the final sponsorship report is <e1>delivered</e1> on <t1>Feb.</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:
In addition, the bank has an option to <e1>buy</e1> a 30.84% stake in BIP from Societe Generale after <t1>Jan.</t1>

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


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

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

Sentence:
The 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.


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

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

Sentence:
23 , 2006 (Xinhua)

Poland announces national mourning for mine blast victims

Polish President Lech Kaczynski <e1>announced</e1> <t1>three days</t1> of national mourning for the victims in a mine blast in southern Poland, the official PAP news agency reported on Thursday.

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


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

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

Sentence:
10 , 2005 (Xinhua)

Some 20,000 tons of copper to be auctioned to ease domestic supply

The State Reserves Bureau under the National Development and Reform Commission (NDRC) is going to <e1>auction</e1> 20,000 tons of copper reserves in a bid to ease tight supply in domestic market, China Daily reported on <t1>Thursday</t1>.

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


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

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

Sentence:
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.


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

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

Sentence:
17 , 2005 (Xinhua)

investigation

The chemical plant <e1>blasts</e1> which left five workers dead and one missing on Sunday in Jilin Province were caused by the incorrect operation by a worker, <e2>said</e2> investigators on Thursday.

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


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

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

Sentence:
A Western Australian state member of parliament, John Halden, has also been <e1>charged</e1> with one count of perjury arising from the royal commission, the report <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:
Ershad told reporters late <t1>Wednesday</t1> that his party and its allies, including the main opposition Awami League, may again decide to boycott <t2>next month</t2>'s polls if he is barred from contesting elections.

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


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

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

Sentence:
"It is the youth who are being actively targeted, <e1>groomed</e1>, radicalized and set on a path that frighteningly quickly could end in their involvement in mass murder of their fellow UK citizens," she <e2>said</e2>.

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


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

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

Sentence:
In a statement <e1>issued</e1> in Nairobi, the organization said the registrations which will continue till next February, will <e2>allow</e2> the first rounds of organized returns to communities in southern Sudan, most likely next 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 Russians may object to it, in which case the language (declaration) may well be <e1>used</e1> by the chairman in office," Sawers said, meaning the conference chairman, Slovenia's Foreign Minister Dimitrij Rupel, would <e2>issue</e2> a final statement if a consensus cannot be reached over the document.

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


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

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

Sentence:
AFP_ENG_20061221.0099

LONDON, <t1>Dec 21 , 2006</t1>, 2006

European shares fall at open: London FTSE down 0.16 percent

European stock markets <e1>declined</e1> in early trading on Thursday, with London's FTSE 100 index of leading shares losing 0.16 percent to reach 6,188.70 points.

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


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


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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_20061225.0221

CAIRO, <t1>Dec 25 , 2006</t1>, 2006

Egypt Brotherhood members accused of money laundering

Six members of the Muslim Brotherhood in Egypt were charged on Monday with money laundering and remanded for <t2>two weeks days</t2>, a security source 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:
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.


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

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

Sentence:
Bush <e1>told</e1> a news conference on <t1>Tuesday</t1> that the naval barricade
now in force might be extended to Jordan's Aqaba ``if it is a hole
through which commerce flows'' in and out of Iraq.

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


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

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

Sentence:
<t1>April 11 , 1997</t1> (AFP)

Seoul shares close 0.9 percent higher

Share prices rebounded 0.9 percent on the Korea Stock Exchange on <t2>Friday</t2>, with buying interest emerging on undervalued stocks after a short correction, dealers said.

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


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

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

Sentence:
"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.


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

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

Sentence:
Hamas gunmen went on the rampage waiting for Haniya to cross back into the strip after being <e1>detained</e1> by an Israeli closure, an AFP correspondent <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:
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.


You are a system for temporal relation classification.
Input:
A sentence with two marked spans:
<e1>/<e2> = events, <t1>/<t2> = times.
Rules:
- FIRST = <e1> or <t1>
- SECOND = <e2> or <t2>
- Relation is from FIRST with respect to SECOND
- Do NOT 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>violence</e1> began when two Israeli settlers killed a Palestinian with submachinegun fire in Hebron's central market after they said the man attacked them with tear gas spray, police <e2>said</e2>.

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


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

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

Sentence:
"We <e1>deplore</e1> the events that are taking place in Rafah," he <e2>added</e2>.

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


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

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

Sentence:
At least 10,000 had <e1>arrived</e1> <t1>early Saturday morning</t1>, police 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:
<e1>Born</e1> in <t1>1957</t1>, Tie was elected president of the association on Sunday at the seventh congress of the association in Beijing, becoming China's top literary official.

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


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

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

Sentence:
Earlier in the day, Doha-based al-Jazeera English channel reported that armed clashes <e1>erupted</e1> on <t1>Friday evening</t1> between 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:
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.


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

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

Sentence:
Mourinho was enraged by an incident in which Johnson <e1>jumped</e1> over Chelsea goalkeeper Hilario as they both <e2>went</e2> for the ball and tumbled after landing.

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