TAC 2010 Tracks
Call for Participation
TAC 2010 Workshop
PASCAL Recognizing Textual Entailment Challenge (RTE-6) at TAC 2010
Given two text fragments called 'Text' and 'Hypothesis', Textual
Entailment Recognition is the task of determining whether the
meaning of the Hypothesis is entailed (can be inferred) from the Text.
The goal of the first RTE Challenge was to provide the NLP community
with a benchmark to test progress in recognizing textual entailment,
and to compare the achievements of different groups. Since its
inception in 2004, the PASCAL RTE Challenges have promoted research in
textual entailment recognition as a generic task that captures major
semantic inference needs across many natural language processing
applications, such as Question Answering (QA), Information Retrieval
(IR), Information Extraction (IE), and multi-document Summarization.
After the first three highly successful PASCAL RTE Challenges, RTE
became a track at the 2008 Text Analysis Conference, which brought it
together with communities working on NLP applications. The
interaction has provided the opportunity to apply RTE systems to
specific applications and to move the RTE task towards more realistic
The RTE-6 tasks focus on recognizing textual entailment in two application settings:
Knowledge Base Population.
- Main Task (Summarization scenario): Given a corpus and a set of "candidate" sentences retrieved by Lucene from that corpus, RTE systems are required to identify all the sentences from among the candidate sentences that entail a given Hypothesis. The RTE-6 Main Task is based on the TAC Update Summarization Task. In the Update Summarization Task, each topic contains two sets of documents ("A" and "B"), where all the "A" documents chronologically precede all the "B" documents. An RTE-6 Main Task "corpus" consists of 10 "A" documents, while Hypotheses are taken from sentences in the "B" documents.
- KBP Validation Pilot (Knowledge Base Population scenario): Based on the
TAC Knowledge Base Population (KBP) Slot-Filling task, the new KBP
validation pilot task is to determine whether a given relation
(Hypothesis) is supported in an associated document (Text). Each slot fill that is proposed by a system for the KBP Slot-Filling task would create one evaluation item for the RTE-KBP Validation Pilot: The Hypothesis would be a simple sentence created from the slot fill, while the Text would be the source document that was cited as supporting the slot fill.
RTE-6 does not include the traditional RTE Main Task which was carried out in the first five RTE challenges; i.e., there will be no task to make entailment judgments over isolated T-H pairs drawn from multiple applications. Instead, the new Main Task for RTE-6 is based on only the Summarization application setting.
The RTE-6 Main Task is similar to the RTE-5 Search Pilot, with the following changes:
- RTE-6 hypotheses will be taken from sentences in the "B" documents, rather than from Summary Content Units created from human-authored summaries of the "A" documents.
- Rather than searching for entailing sentences from the entire corpus, a Lucene baseline will first be run to retrieve a smaller number of candidate sentences for entailment.
- The exploratory effort on resource evaluation will continue through ablation tests for the new RTE-6 Main Task.
|Main Task: Release of Development Set
|KBP Validation Pilot: Release of Development Set
|Deadline for TAC 2010 track registration
|KBP Validation Pilot: Release of Test Set
|Main Task: Release of Test Set
|Main Task: Deadline for task submissions
|Main Task: Release of individual evaluated results
|KBP Validation Pilot: Deadline for task submissions
|KBP Validation Pilot: Release of individual evaluated results
|Deadline for TAC 2010 workshop presentation proposals
|Main Task: Deadline for ablation tests submissions
|Main Task: Release of individual ablation test results
|Deadline for systems' reports
|TAC 2010 Workshop
The mailing list for the RTE Track is email@example.com. The list is used to discuss and define the task guidelines for the track, as well as for general discussion related to textual entailment and its evaluation. To subscribe, send a message to firstname.lastname@example.org such that the body consists of the line:
subscribe rte <FirstName> <LastName>
In order for your messages to get posted to the list, you must send
them from the email address used when you subscribed to the list.
To unsubscribe, send a message from the subscribed email address to email@example.com such that the body consists of the line:
For additional information on how to use mailing lists hosted at NIST,
send a message to firstname.lastname@example.org such
that the body consists of the line:
Luisa Bentivogli, CELCT and FBK, Italy
Peter Clark, Boeing, USA
Ido Dagan, Bar Ilan University, Israel
Hoa Trang Dang, NIST, USA
Danilo Giampiccolo, CELCT, Italy