Conf: RANLP MMIES Workshop (2nd call for participation)

[Thierry Hamon]

Date: Fri, 7 Sep 2007 13:35:26 +0200
From: Thierry Poibeau <Thierry.Poibeau at lipn.univ-paris13.fr>
Message-Id: <4eb6f0e329b12c149d5503f6b46ab57d at lipn.univ-paris13.fr>
X-url: http://www-lipn.univ-paris13.fr/~poibeau/mmies.html
X-url: http://lml.bas.bg/ranlp2007/


Second Call for Participation

Multi-source, Multilingual Information Extraction and Summarization

         http://www-lipn.univ-paris13.fr/~poibeau/mmies.html

               Workshop to be held in conjunction with

                          *** RANLP 2007 ***
                     http://lml.bas.bg/ranlp2007/
                                   
                         Borovets - Bulgaria
                    *** 26th of September 2007 ***




OVERVIEW

Information extraction (IE) and text summarization (TS) are key
technologies aiming at extracting relevant information from texts and
other sources and presenting the information to the user in condensed
forms. Recent years have witnessed an explosion of information, making
IE and TS particularly important for the information society. These
technologies, however, face new challenges with the adoption of the
Web 2.0 paradigm (e.g. blogs, wikis) because of their inherent
multi-source nature. These technologies have to deal no longer with
isolated texts or single narratives but with large scale repositories,
or sources -- in one or many languages -- containing a multiplicity of
views, opinions, or commentaries on particular topics, entities or
events.  There is thus a need to adapt and/or develop new techniques
to deal with these new phenomena. The ``Multi-source, Multilingual
Information Extraction and Summarization'' workshop will cover the
following questions:



     * What methods are appropriate to detect
similar/complementary/contradictory information? Are hand-crafted
rules and knowledge-rich approaches convenient?

     * What methods are there to tackle cross-document and
cross-lingual entity and event coreference?

     * What machine learning approaches are most appropriate for this
task: supervised/unsupervised/semi-supervised? What type of corpora is
required for training and testing?

     * What techniques are appropriate to produce condensed synthesis
of the extracted information? What generation techniques are useful
here? What kind of techniques can be used to cross domains and
languages?

     * What tools are there to support multi-lingual/multi-source
access to information? What solutions are there beyond full document
translation to produce cross-lingual summaries?


INVITED SPEAKER

Invited speaker: Bernardo Magnini (ITC-IRST).


PROGRAMME

10:00 - 10:10  Welcome

10:10 - 11:30  Invited Talk: Bernardo Magnini - ITC-IRST - Italy

11:30 - 12:00  Coffee Break

12:00 - 13:00  Papers

    12:00 - 12:30 Disambiguation of Standardized Personal Name
                  Variants.  Patricia Driscoll and David Yarowsky.

    12:30 - 13:00 Using Information Extraction to Improve
                  Cross-lingual Document Retrieval.  Dilek
                  Hakkani-Tür, Heng Ji, and Ralph Grishman

13:00 - 14:30  Lunch

14:30 - 15:30  Papers

    14:30 - 15:00 Ontological Integration of Information Extracted
                  from Multiple Sources.  Adam Funk, Diana Maynard,
                  Horacio Saggion, and Kalina Bontcheva.

    14:30 - 15:00 Combining Information about Epidemic Threats from
                  Multiple Sources.  Roman Yargarber, Clive Best,
                  Peter von Etter, Flavio Fuart, David Horby, and Ralf
                  Steinberger.

15:00 - 15:30  Coffee Break

15:30 - 16:00  Papers

    15:30 - 16:00 Unsupervised Learning of Social Networks from a
                  Multiple-Source News Corpus.  Hristo Tanev.

    16:00 - 16:30 Multilingual Multi-document Continuously-updated
                  Social Networks.  Bruno Pouliquen, Ralf Steinberger,
                  and Jenya Belyaeva.

16:30 - 17:00  Open Discussion
17:00 - 17:10  Farewell

WORKSHOP ORGANIZERS

     * Thierry Poibeau
       LIPN-CNRS, U. Paris 13
       France

     * Horacio Saggion
       NLP Group, U. Sheffield
       United Kingdom


PROGRAM COMMITTEE

     * Sophia Ananiadou (U. Manchester, UK)
     * Roberto Basili (U. Roma Tor Vergata, Italy)
     * Kalina Bontcheva (U. Sheffield, UK)
     * Nathalie Colineau (CSIRO,  Australia)
     * Nigel Collier (NII, Japan)
     * Hercules Dalianis (KTH/Stockholm University, Sweden)
     * Thierry Declerk (DFKI, Germany)
     * Brigitte Grau (LIMSI, France)
     * Kentaro Inui (NAIST, Japan)
     * Min-Yen Kan (National University of Singapore, Singapore)
     * Guy Lapalme (U. Montreal, Canada)
     * Diana Maynard (U. Sheffield, UK)
     * Jean-Luc Minel (CNRS-Modyco, France)
     * Constantin Orasan (University of Wolverhampton, UK)
     * Cecile Paris (CSIRO, Australia)
     * Agnes Sandor (Xerox XRCE, France)
     * Ralf Steinberger (European Commission - Joint Research Centre, Italy)
     * Stan Szpakowicz (University of Ottawa, Canada)
     * Lucy Vanderwende (Microsoft  Research, USA)
     * Jose Luis Vicedo (Universidad de Alicante, Spain)
     * Roman Yangarber (University of Helsinki, Finland)
     * Liang Zhou (ISI, USA)
     * Michael Zock (LIF, France)

CONTACT US

e-mail: thierry.poibeau _at_ lipn.univ-paris13.fr (replace _at_ with @)


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