Appel: LLL'01 (3rd LEARNING LANGUAGE IN LOGIC WORKSHOP)

[alexis nasr]

Please find below the CFP on works in progress in learning language in
logic (LLL). Our idea is to map main research streams in LLL. So even
submission submitted/accepted elsewhere can be accepted if a vision of
a future work will be well-expressed.

Best regards
Lubos Popelinsky and Miloslav Nepil


          3rd LEARNING LANGUAGE IN LOGIC (LLL) WORKSHOP
               http://www.fi.muni.cz/ilpnet2/LLL2001

                8th - 9th September 2001, Strasbourg
                      Co-located with ILP 2001

                 CALL FOR WORK-IN-PROGRESS PAPERS
                 --------------------------------

SUBMISSIONS

      Please submit by sending electronically to lll01 at fi.muni.cz
      a full paper (PS or PDF format) up to 12 pages in LNCS/LNAI
      Springer style.

      Paper submission deadline:  June, 24
      Notification of acceptance: July, 9
      Final version due:          July, 27

      Works in progress will be published in working notes (Technical
      Report of FI MU Brno).

PRESENTATION

      Our purpose is to provide a forum for discussion on all aspects
      of learning language in logic.
      It is the follow-up of the previous LLL workshops held in 1999
      in Bled, Slovenia, and in 2000 in Lisboa, Portugal.

      The goal of this workshop is to bring together researchers who
      are working on learning from text, while emphasizing the
      logic-based learning techniques and algorithms.

      We strongly encourage contributions concerning semantic analysis
      of natural languages, describing logic-based learning techniques
      alternative to ILP, employing active learning or solving tasks
      for other languages than English.

      These techniques include but are not limited to:

         -  Combinations of approaches and multi-strategy learning
         -  Instance-based and clustering approaches in relational
            learning
         -  Scalability issues (applying logic-based methods to large
            data sets)
         -  Logical approaches to statistical NLP
         -  Higher-order logic for LLL
         -  Handling very complex terms
         -  Collaborative and interactive learning

         -  Shallow parsing
         -  Grammar learning
         -  Learning subcategorisation frames
         -  Part-of-speech tagging
         -  Morphosyntactic tagging
         -  Morphological analysis
         -  Information indexing, filtering, retrieval, extraction
         -  Text classification methods
         -  Question answering
         -  Learning ontologies, thesauri and lexicon
         -  Extracting predicate-argument structure

PROGRAM CHAIR

      Lubos Popelinsky (Masaryk University in Brno, Czechia)

MEMBERS

      Pieter Adriaans (Syllogic and University of Amsterdam, Netherlands)
      James Cussens (University of York, UK)
      Martin Eineborg (University of Stockholm, Sweden)
      Tomaz Erjavec (Institute Jozef Stefan, Slovenia)
      Suresh Manandhar (University of York, UK)
      Claire Nedellec (LRI, University of Paris-Sud, France)
      Guenter Neumann (DFKI, Saarbrücken, Germany)
      Stefan Wrobel (University of Magdeburg, Germany)

ORGANIZATION

      Nicolas Lachiche (LSIIT Strasbourg, France)

SUPPORT

      LLL 2001 is financially supported by the Network of Excellence
      in Inductive Logic Programming ILPnet2 funded under the European
      Union's INCO program.

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Lubos Popelinsky                             Voice: +420 5 41512 324
Dept. of Comp.Sci., Faculty of Informatics   Fax  : +420 5 4121 2568
Masaryk University, Botanicka 68a            Email: popel at fi.muni.cz
CZ-602 00 Brno, Czech Republic               www.fi.muni.cz/~popel
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