<html><head><style type="text/css"><!-- DIV {margin:0px;} --></style></head><body><div style="font-family:times new roman, new york, times, serif;font-size:12pt"><div style="font-family: courier,monaco,monospace,sans-serif;"> First Call for Participation<br><br>Multi-source, Multilingual Information Extraction and Summarization<br><br><span> <a target="_blank" href="http://www-lipn.univ-paris13.fr/%7Epoibeau/mmies.html">http://www-lipn.univ-paris13.fr/~poibeau/mmies.html</a></span><br><br> Workshop to be held in conjunction with <br><br> *** RANLP 2007 ***<br><span> <a target="_blank" href="http://lml.bas.bg/ranlp2007/">http://lml.bas.bg/ranlp2007/</a></span><br><br> Borovets - Bulgaria<br> *** 26th of September 2007 ***<br><br><br><br><br>OVERVIEW<br><br>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:<br><br> * What methods are appropriate to detect similar/complementary/contradictory information? Are hand-crafted rules and knowledge-rich approaches convenient?<br> * What methods are there to tackle cross-document and cross-lingual entity and event coreference?<br> * What machine learning approaches are most appropriate for this task: supervised/unsupervised/semi-supervised? What type of corpora is required for training and testing?<br> * 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?<br> * 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? <br><br><br>INVITED
SPEAKER<br><br>Invited speaker: Bernardo Magnini (ITC-IRST).<br><br><br>LIST OF ACCEPTED PAPERS<br><br> * Title: Unsupervised Learning of Social Networks from a Multiple-Source News Corpus<br> Author: Hristo Tanev<br><br> * Title: Disambiguation of Standardized Personal Name Variants<br> Authors: Patricia Driscoll and David Yarowsky<br><br> * Title: Using Information Extraction to Improve Cross-lingual Document Retrieval<br> Authors: Dilek Hakkani-Tür, Heng Ji and Ralph Grishman<br><br> * Title: Ontological Integration of Information Extracted from Multiple Sources<br> Authors: Adam Funk, Diana Maynard, Horacio Saggion and Kalina Bontcheva<br><br> * Title: Combining Information about Epidemic Threats from Multiple
Sources<br> Authors: Clive Best, Peter von Etter, Flavio Fuart, David Horby, Ralf Steinberger and Roman Yangarber<br><br> * Title: Multilingual multi-document continuously-updated social networks<br> Authors: Bruno Pouliquen, Ralf Steinberger and Jenya Belyaeva<br><br><br>WORKSHOP ORGANIZERS<br><br> * Thierry Poibeau <br> LIPN-CNRS, U. Paris 13<br> France<br><br> * Horacio Saggion<br> NLP Group, U. Sheffield<br> United Kingdom<br><br><br>PROGRAM COMMITTEE<br><br> * Sophia Ananiadou (U. Manchester, UK)<br> * Roberto Basili (U. Roma Tor Vergata, Italy)<br> * Kalina Bontcheva (U. Sheffield, UK)<br> * Nathalie Colineau (CSIRO,
Australia)<br> * Nigel Collier (NII, Japan)<br> * Hercules Dalianis (KTH/Stockholm University, Sweden)<br> * Thierry Declerk (DFKI, Germany)<br> * Brigitte Grau (LIMSI, France)<br> * Kentaro Inui (NAIST, Japan)<br> * Min-Yen Kan (National University of Singapore, Singapore)<br> * Guy Lapalme (U. Montreal, Canada)<br> * Diana Maynard (U. Sheffield, UK)<br> * Jean-Luc Minel (CNRS-Modyco, France)<br> * Constantin Orasan (University of Wolverhampton, UK)<br> * Cecile Paris (CSIRO, Australia)<br> * Agnes Sandor (Xerox XRCE, France)<br> * Ralf Steinberger (European Commission - Joint Research Centre, Italy)<br> * Stan Szpakowicz (University of Ottawa, Canada)<br> * Lucy Vanderwende (Microsoft
Research, USA)<br> * Jose Luis Vicedo (Universidad de Alicante, Spain)<br> * Roman Yangarber (University of Helsinki, Finland)<br> * Liang Zhou (ISI, USA)<br> * Michael Zock (LIF, France)<br><br>CONTACT US<br><br>e-mail: thierry.poibeau _at_ lipn.univ-paris13.fr (replace _at_ with @)<br><br><br><br></div></div><br>
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