The TAC 2009 'Knowledge Base Population' track might be of special
interest to the DBpedia community, as it involves extracting data to
fill Wikipedia infoboxes from text. Tim
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TAC 2009: Call for Participation
Text Analysis Conference (TAC)
http://www.nist.gov/tac/
Track Evaluations: February - October 2009
Workshop: November 16-17, 2009
Conducted by:
National Institute of Standards and Technology (NIST)
INTRODUCTION
The Text Analysis Conference (TAC) is a series of evaluation workshops
organized to encourage research in Natural Language Processing and
related applications, by providing a large test collection, common
evaluation procedures, and a forum for organizations to share their
results. TAC comprises sets of tasks known as "tracks," each of which
focuses on a particular subproblem of NLP. TAC tracks focus on
end-user tasks, but also include component evaluations situated within
the context of end-user tasks. In the first Text Analysis Conference
(TAC 2008), 65 teams participated in one or more tracks, representing
20 different countries and six continents.
You are invited to participate in TAC 2009. NIST will provide test
data for each track, and track participants will run their NLP systems
on the data and return their results to NIST for evaluation.
Organizations may choose to participate in any or all of the tracks.
The annual conference culminates in a November workshop at NIST in
Gaithersburg, Maryland, USA. All results submitted to NIST are
archived on the TAC web site, and all evaluations of submitted results
are included in the conference proceedings. Dissemination of TAC work
and results other than in the conference proceedings is welcomed, but
the conditions of participation specifically preclude any advertising
claims based on TAC results.
TRACK DESCRIPTION
TAC 2009 has three tracks. A new Knowledge Base Population track (KBP)
joins the Recognizing Textual Entailment track (RTE-5) and the
Summarization track, which are both returning from TAC 2008.
What's NEW in 2009:
* The goal of the new Knowledge Base Population track is to
augment an existing knowledge representation with information
about entities that is discovered from a collection of
documents. A snapshot of Wikipedia infoboxes will be used as the
original knowledge source, and participants will be expected to
fill in empty slots for entities that do exist, add missing
entities and their learnable attributes, and provide links
between entities and references to text supporting extracted
information. The KBP task lies at the intersection of Question
Answering and Information Extraction and is expected to be of
particular interest to groups that have participated in ACE or
TREC QA.
* RTE-5 will extend the task of recognizing whether a Text entails
a given Hypothesis. The Texts will be longer (to promote
discourse analysis) and will not be edited from their source
documents; thus, systems will be asked to handle real text that
may include typographical errors and ungrammatical sentences.
* The Summarization track brings back the update summarization
task and adds the task of Automatically Evaluating Summaries Of
Peers (AESOP) for a given metric. AESOP complements the basic
summarization task by building a collection of automatic
evaluation tools that support development of summarization
systems.
The exact definition of the tasks to be performed in each TAC 2009
track is formulated and discussed on the track mailing list. To be
added to a track mailing list, follow the instructions given in the
track web page for contacting the mailing list. For questions about
the track, send mail to the track coordinator (or post the question to
the track mailing list once you join).
* Knowledge Base Population (KBP)
Track Coordinator: Paul McNamee ([email protected])
Web page: http://apl.jhu.edu/~paulmac/kbp.html
Mailing list: [email protected]
* Recognizing Textual Entailment (RTE)
Track Coordinators: Danilo Giampiccolo ([email protected])
and Luisa Bentivogli ([email protected])
Web page: http://www.nist.gov/tac/2009/RTE/
Mailing list: [email protected]
* Summarization
Track Coordinator: Hoa Trang Dang ([email protected])
Web page: http://www.nist.gov/tac/2009/Summarization/
Mailing list: [email protected]
TRACK REGISTRATION
Organizations wishing to participate in any of the TAC 2009 tracks are
invited to register online by March 3, 2009 at:
http://www.nist.gov/tac/2009/track-app.html
Registration for a track does not commit you to participating in the
track, but is helpful to know for planning. Late registration will be
permitted only if resources allow. Any questions about conference
participation may be sent to the TAC project manager: [email protected].
WORKSHOP
The TAC 2009 workshop will be held November 16-17, 2009, in
Gaithersburg, Maryland, USA, and is co-located with the meeting of the
Eighteenth Text REtrieval Conference (TREC 2009). The TAC workshop is
a forum both for presentation of results (including failure analyses
and system comparisons), and for more lengthy system presentations
describing techniques used, experiments run on the data, and other
issues of interest to researchers in NLP. Track participants who want
to give a presentation during the workshop will submit a 500-word
abstract in September describing the experiments they performed. As
there is a limited amount of time for oral presentations, the TAC
advisory committee will use the abstracts to determine which
participants are asked to speak and which will present in a poster
session.
PRELIMINARY SCHEDULE
March 3: Deadline for track registration
Beginning March 3: Submit signed User Agreements to NIST
July - early September: Deadlines for results submission
September 16 (estimated): Deadline for workshop presentation proposals
September 16 (estimated): Deadline for proposals for TAC 2010 tracks/tasks
By early October: Release of individual evaluated results to participants
mid October: Deadline for participants' notebook papers
November 16-17: TAC 2009 workshop in Gaithersburg, Maryland, USA
early February, 2010: Deadline for participants' final proceedings papers
ADVISORY COMMITTEE
John Conroy, IDA/CCS
Ido Dagan, Bar Ilan University
Hoa Trang Dang, NIST (chair)
Maarten de Rijke, University of Amsterdam
Bill Dolan, Microsoft Research
Bonnie Dorr, University of Maryland
Donna Harman, NIST
Andy Hickl, Language Computer Corporation
Ed Hovy, ISI/USC
Bernardo Magnini, FBK
Ani Nenkova, University of Pennsylvania
Drago Radev, University of Michigan
Lucy Vanderwende, Microsoft Research
Ellen Voorhees, NIST
Ralph Weischedel, BBN
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