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LINGUIST List 18.2444

Mon Aug 20 2007

Confs: Computational Ling/Bulgaria

Editor for this issue: Jeremy Taylor <jeremylinguistlist.org>

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        1.    Thierry Poibeau, Multi-Source, Multilingual IE and Summarization
Message 1: Multi-Source, Multilingual IE and Summarization
Date: 18-Aug-2007
From: Thierry Poibeau <thierry.poibeaulipn.univ-paris13.fr>
Subject: Multi-Source, Multilingual IE and Summarization
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Multi-Source, Multilingual IE and Summarization
Short Title: MMIES

Date: 26-Sep-2007 - 26-Sep-2007
Location: Borovets, Bulgaria
Contact: Thierry Poibeau
Contact Email: thierry.poibeaulipn.univ-paris13.fr
Meeting URL: http://www-lipn.univ-paris13.fr/~poibeau/mmies.html

Linguistic Field(s): Computational Linguistics

Meeting Description:

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: Bernardo Magnini (ITC-IRST).

List of Accepted Papers

- Title: Unsupervised Learning of Social Networks from a Multiple-Source
News Corpus
Author: Hristo Tanev

- Title: Disambiguation of Standardized Personal Name Variants
Authors: Patricia Driscoll and David Yarowsky

- Title: Using Information Extraction to Improve Cross-lingual Document
Retrieval
Authors: Dilek Hakkani-Tür, Heng Ji and Ralph Grishman

- Title: Ontological Integration of Information Extracted from Multiple Sources
Authors: Adam Funk, Diana Maynard, Horacio Saggion and Kalina Bontcheva

- Title: Combining Information about Epidemic Threats from Multiple Sources
Authors: Clive Best, Peter von Etter, Flavio Fuart, David Horby, Ralf
Steinberger and Roman Yangarber

- Title: Multilingual multi-document continuously-updated social networks
Authors: Bruno Pouliquen, Ralf Steinberger and Jenya Belyaeva

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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