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Category:   E-CFP
Subject:   MMIES2: Multi-source, Multilingual Information Extraction and, Summarization Workshop (2nd call)
Email:   H.Saggion_(on)_dcs.shef.ac.uk
Date received:   10 Apr 2008
Deadline:   05 May 2008
Start date:   23 Aug 2008

MMIES2: Multi-source, Multilingual Information Extraction and Summarization Workshop Manchester, 23 August, 2008 Held in conjunction with COLING-2008 (http://www.coling2008.org.uk/), the 22nd International Conference on Computational Linguistics, 18-22 August, 2008. Theme: The objective of the 2nd MMIES Workshop: Multi-source, Multilingual Information Extraction and Summarization is to bring together researchers and practitioners in the areas of extraction, summarization, and other information access technologies, to discuss recent approaches to multi-source and multi-lingual challenges. Approaches to handling the idiosyncratic nature of the new Web2.0 media are especially welcome, including: mixed input, new jargon, ungrammatical and mixed-language input, and emotional discourse. Workshop Web Site: http://doremi.cs.helsinki.fi/mmies2/ Organisers: * Sivaji Bandyopadhyay (Jadavpur University, India) * Thierry Poibeau (CNRS / Universite Paris 13, France) * Horacio Saggion (University of Sheffield, UK) * Roman Yangarber (University of Helsinki, Finland) Call for Papers Information extraction (IE) and text summarization (TS) are key technologies aiming at extracting from texts information that is relevant to a user's interest, and presenting it to the user in concise form. The on-going information explosion makes IE and TS particularly critical for successful functioning within 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 must no longer only deal with isolated texts or single narratives, but with large-scale repositories or sources -- possibly in several 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. Recognising similar information across different sources and/or in different languages is of paramount importance in this multi-source, multi-lingual context. In information extraction, merging information from multiple sources can lead to increased accuracy as compared with extraction from a single source. In text summarization, similar facts found across sources can inform sentence scoring algorithms. In question answering, the distribution of answers in similar contexts can inform answer ranking components. Often, it is not the similarity of information that matters, but its complementary nature. In a multi-lingual context, information extraction and text summarization can provide solutions for cross-lingual access: key pieces of information can be extracted from different texts in one or many languages, merged, and then conveyed in many natural languages in concise form. Applications need to be able to cope with the idiosyncratic nature of the new Web 2.0 media: mixed input, new jargon, ungrammatical and mixed-language input, emotional discourse, etc. In this context, synthesizing or inferring opinions from multiple sources is a new and exciting challenge for NLP. On another level, profiling of individuals who engage in the new social Web, and identifying whether a particular opinion is appropriate/relevant in a given context are important topics to be addressed. It is therefore important that the research community address the following issues: - What methods are appropriate to detect similar/complementary/contradictory information? Are hand-crafted rules and knowledge-rich approaches convenient? - What methods are available 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 are required for training and testing? - What techniques are appropriate to synthesize condensed synopses of the extracted information? What generation techniques are useful here? What kind of techniques can be used to cross domains and languages? - What techniques can improve opinion mining and sentiment analysis through multi-document analysis? How do information extraction and opinion mining connect? - What tools exist for supporting multi-lingual/multi-source access to information? What solutions exist beyond full document translation to produce cross-lingual summaries? Important Dates: * Paper submission deadline: *** 5 May *** * Notification of acceptance of Papers: 6 June * Camera-ready copy of papers due: 1 July * Workshop: *** 23 August *** Paper Submission: Papers should describe original work and should indicate the state of completion of the reported results. Wherever appropriate, concrete evaluation results should be included. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees. Submissions should follow the two-column format of ACL proceedings and should not exceed eight (8) pages, including references. We strongly recommend the use of the Coling 2008 LaTeX style files or Microsoft Word Style files tailored for this year's conference (http://personalpages.manchester.ac.uk/staff/harold.somers/coling/style.html). Submission will be electronic (pdf format only), using the START paper submission webpage dedicated to the workshop https://www.softconf.com/coling08/MMIES2/. The reviewing process will be blind and each submission will be reviewed by at least three programme committee members. Programme Committee: Javier Artiles (UNED, Spain) Kalina Bontcheva (U. Sheffield, UK) Nathalie Colineau (CSIRO, Australia) Nigel Collier (NII, Japan) Hercules Dalianis (KTH/Stockholm University, Sweden) Thierry Declerk (DFKI, Germany) Michel Généreux (LIPN-CNRS, France) Julio Gonza9reux (LIPN-CNRS, France) Julio Gonzalo (UNED, Spain) Brigitte Grau (LIMSI-CNRS, France) Ralph Grishman (New York University, USA) 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 (Modyco-CNRS, France) Constantin Orasan (University of Wolverhampton, UK) Cecile Paris (CSIRO, Australia) Maria Teresa Pazienza (U. of Roma tor Vergata, Italy) Bruno Pouliquen (European Commission - Joint Research Centre, Italy) Satoshi Sekine (NYU, USA) Patrick Saint-Dizier (IRIT-CNRS, France) 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) Additional Information: Information about the previous MMIES Workshop, at RANLP-2007 in Borovets, Bulgaria can be found at (http://www-lipn.univ-paris13.fr/~poibeau/mmies/index.html) _______________________________________________ Elsnet-list mailing list Elsnet-list_(on)_elsnet.org http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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