[Corpora-List] [Mlnet] AW: [Kdnet-members] CfP: ICML05 Workshop on Ontology Learning

From: Ina Lauth (codrina.lauth@ais.fraunhofer.de)
Date: Mon Feb 28 2005 - 14:51:54 MET

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                                   Call for Papers:
               LEARNING AND EXTENDING LEXICAL ONTOLOGIES
                   BY USING MACHINE LEARNING METHODS

    Workshop at the International Conference on Machine Learning (ICML 2005)
                          Bonn, Germany August 11th 2005

    http://www.ais.fraunhofer.de/KD/AIS_Workshop/WS_Learning_and_Extending_L
    exical_Ontologies.html

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    TOPIC AND MOTIVATION

    The workshop is concerned with learning and extending lexical ontologies
    by means of Machine Learning methods. Lexical-semantic ontology learning
    is an emerging field that combines machine learning techniques with
    the most recent advances in natural language and ontology processing.

    There has been a considerable amount of research how the use of
    lexical-semantic ontologies such as WordNet improves the performance of
    a variety of Natural Language Processing tasks, such as Information
    Retrieval, Word Sense Disambiguation, Document Clustering, Document
    Summarization and others.

    It has turned out that simple hierarchies are not sufficient to capture
    the semantic relations of words. Semantic fields, for instance may be
    used to represent semantic connections among groups of lexemes drawn
    from a single domain, while semantic selectional restrictions allow
    lexemes to post constraints on the semantic properties of constituents
    that accompany them in sentences. On the other hand multiple data
    sources might be included: linguistically or statistically pre-processed
    documents, combinations of multiple and cross-lingual corpora or the web
    as well as existing dictionaries and ontologies.

    Machine learning now provides new techniques to learn rich structural
    properties. The aim of the workshop is to bring together researchers
    from machine learning as well as NLP and related fields. Progress in
    this area may foster an understanding of the semantics of language and
    may have considerable economical impact.

    SUBMISSION

    Submissions (in PDF format, all fonts included) should be in English and
    not longer than 10 pages (full paper) or 5 pages (short paper),
    following Springer LNCS style. Accepted long papers will be presented in
    oral sessions, accepted short papers as posters.

    Submissions are invited on all aspects of the interaction between
    Ontology Acquisition and Machine Learning. Topics may include, but are
    not necessarily limited to

       * Ontology induction from large corpora
       * Candidate generation and classification for ontology extension
       * Derivation of ontology relations
       * Knowledge discovery (from databases, semi-structured data, text,
         multimedia) in ontology learning (extension/evolution) and/or
         ontology mapping (merging/integration)
       * Ontology domain adaptation

    IMPORTANT DATES

    Apr 1, 2005 Paper submission deadline
    Apr 22, 2005 Notification of acceptance
    May 13, 2005 Final paper deadline
    Aug 11, 2005 Workshop held

    ORGANIZATION

    Co-Chairs:
       - Chris Biemann, University of Leipzig, Germany (contact person)
         biem@informatik.uni-leipzig.de
       - Gerhard Paass, Fraunhofer AIS, Sankt Augustin, Germany
         Gerhard.Paass@ais.fraunhofer.de

    Program Committee:
      - Markus Ackermann, University of Leipzig, Germany
      - Eneko Agirre, Basque Country University, Spain
      - Enrique Alfonseca, Universidad Autónoma de Madrid, Spain
      - Paul Buitelaar, DFKI Saarbrücken, Germany
      - Javier Farreres, Universitat Politècnica de Catalunya, Spain
      - Jürgen Franke, DaimlerChrysler AG, Germany
      - Thomas Gärtner, Fraunhofer AiS, Sankt Augustin, Germany
      - Karina Gibert, Universitat Politècnica de Catalunya, Spain
      - Vasileios Hatzivassioglou, Columbia University, New York, USA
      - Rattikorn Hewett, Texas Tech University, USA
      - Gerhard Heyer, University of Leipzig, Germany
      - Eduard Hovy, University of Southern California, USA
      - Tang Enya Kong, Universiti Sains Malaysia, Malaysia
      - Pedro Larrañaga, Basque Country University, Spain
      - Bernardo Magnini, ITC-irst, Italy
      - Suresh Manandhar, University of York, United Kingdom
      - Inderjeet Mani, Georgetown University, USA
      - Alexander Mehler, University of Bielefeld, Germany
      - Elisabeth Métais, Cnam Cedric Paris, France
      - Antonio Moreno, University Rovira i Virgili, Spain
      - Roberto Navigli, Universtià degli Studi di Roma "La Sapienza", Italy
      - Claire Nédellec, Laboratoire Mathématique Informatique et Génome,
        Jouy-en-Josas, France
      - Rainer Osswald, FernUniversität Hagen, Germany
      - Patrick Pantel, University of Southern California, USA
      - Youngja Park, IBM Research, USA
      - Thierry Poibeau, Université Paris-Nord, France
      - Uwe Quasthoff, University of Leipzig, Germany
      - Deepak Ravichandran, University of Southern California, USA
      - German Rigau, Universitat Politècnica de Catalunya, Spain
      - Horacio Rodriguez, Universitat Politècnica de Catalunya, Spain
      - Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg, Germany
      - Vojtech Svatek, University of Economics Prague, Czech Republic

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