----------------------------------------------------------------------- CALL FOR PARTICIPATION 2nd LEARNING LANGUAGE IN LOGIC (LLL) WORKSHOP 13 - 14 September 2000, Lisbon - Portugal Co-located with ICGI and CoNLL http://www.lri.fr/~cn/LLL-2000/ ----------------------------------------------------------------------- EARLY REGISTRATION DEADLINE 31th of July 2000 ------------------------------------------------------------------- The goal of this workshop is to bring together researchers from many subfields of AI who are working on machine learning from text, while emphasizing the logic-based learning techniques and algorithms. LLL-2000 is co-organized with the International Conference on Grammar Inference (ICGI, http://vinci.inesc.pt/icgi-2000/) and the Conference on Natural Language Learning (CoNLL, http://lcg-www.uia.ac.be/conll2000/). Programme --------- The programme includes joint sessions with CoNLL and ICGI, paper presentations and invited talks. Invited speakers: - Dan Roth (Univ. Illinois, Urbana-Champaign) - Jörg-Uwe Kietz (Rentenanstalt / Swiss Life, Zürich) The papers selected for presentation will appear in the joint CoNLL-LLL proceedings published by Omni Press. The preliminary programme can be found at http://www.lri.fr/~cn/LLL-2000/programme.html Programme chair --------------- Claire Nédellec LLL workshop LRI, Bat 490 e-mail: cn@lri.fr Université Paris-Sud Tel: +33 (0)1 69 15 66 26 F-91405 Orsay Fax: +33 (0)1 69 15 65 86 FRANCE ---------------------------------------------------------------------- See http://www.lri.fr/~cn/LLL-2000 for more information about the workshop and the registration procedure. See http://algos.inesc.pt/icgi-2000/ for details on the accomodation. ----------------------------------------------------------------------- *********************************************************************** *********************************************************************** ----------------------------------------------------------------------- CALL FOR PAPERS 2nd LEARNING LANGUAGE IN LOGIC (LLL) WORKSHOP 13th - 14th September 2000, Lisbon - Portugal Co-located with ICGI and CoNLL http://www.lri.fr/~cn/LLL-2000/ ----------------------------------------------------------------------- As a result of several requests, the deadline for the submission of research papers for the 2nd workshop on Learning Language in Logic to be held in Lisbon, September 13-14th, 2000 has been extended to Monday, May 22, 2000. Revised Calendar ---------------- Submission of papers by *** May, 22, 2000 *** Acceptance notices mailed by June, 19, 2000 Final, camera-ready papers due by July, 14, 2000 ----------------------------------------------------------------------- CALL FOR PAPERS 2nd LEARNING LANGUAGE IN LOGIC (LLL) WORKSHOP 13th - 14th September 2000, Lisbon - Portugal Co-located with ICGI and CoNLL http://www.lri.fr/~cn/LLL-2000 ----------------------------------------------------------------------- Presentation ------------ Our purpose is to provide a forum for discussion on all aspects of learning linguistic knowledge in logic. This workshop is a follow-up of the succesful LLL workshop held in 1999 in Bled, (Slovenia) and co-located with ICML (http://www.cs.york.ac.uk/mlg/lll/workshop/). It will be co-located with the International Conference on Grammar Inference (ICGI) (http://vinci.inesc.pt/icgi-2000/) and the Conference on Natural Language Learning (CoNLL) (http://lcg-www.uia.ac.be/conll2000/cfp.html). Aims and scope of the conference -------------------------------- The fact that more and more people are interested in the automatic acquisition of lexicons is due to the progress in the development of applications in NLP, terminology acquisition, indexing, information extraction, retrieval, question-answering, etc. Relational learning seems like a valuable alternative to data analysis in some NLP domains. This is clearly shown by the recent success of both NLP methods based on ILP or non-classic logics, and hybrid methods. Interest in learning linguistic knowledge has grown steadily over the last 15 years. As compared to manual acquisition, specialized resources can be learned, revised and extended with respect to the task at hand for much less cost. Despite the degree of variation in the applications and resources we want to acquire, most of them are learned in the same way: by observing regularities among the co-occurence of phenomena in the corpus. Therefore, a large amount of work is naturally based on statistics, and attempts to develop robust and large-scale methods. Moreover, relational learning and logic-based learning have proved their capacity to learn complex structured knowledge from structured data and explicit background knowledge. Compared to data analysis, some of the major advantages here are: a better means to express the representation; a method that is easier to understand; and a comprehensible learning result. As a consequence, interest is growing for a corpus-based learning of structures that represent linguistic resources such as predicate-argument structures, grammars, ontologies, etc. The goal of this workshop is to bring together researchers from many subfields of AI who are working on learning from text, while emphasizing the logic-based learning techniques and algorithms. These techniques include, * Instance-based and clustering approaches in relational learning * Scalability issues (applying Logic-based methods to large data sets) * Logical approaches to statistical NLP * Theory revision * Explanation-based learning * Higher-order logic for LLL * Handling very complex terms * Multi-predicate learning * Collaborative and interactive learning * Learning in description logics * Combinations of approaches and multi-strategy learning * Evaluation techniques * Information indexing, filtering, retrieval, extraction * Text classification methods * Question answering * Learning ontologies, thesauri and lexicon * Learning terminology * Learning predicate-argument structure * Shallow parsing * Learning grammar * Learning subcategorisation frames * Part-of-speech tagging * Morphosyntactic tagging * Morphological analysis In addition to these topics, the workshop covers all theoretical and methodological issues concerning learning from text using logic- based techniques. Submissions describing innovative applications are also encouraged. Important dates --------------- Submission of papers by May, 15, 2000 Acceptance notices mailed by June, 19, 2000 Final, camera-ready papers due by July, 14, 2000 Organization ------------ The workshop will be two full days, including invited talks, paper presentations, poster presentations, and numerous opportunities for discussion. There will be joint sessions with the workshop "International Conference on Grammar Inference" (ICGI) and the "Conference on Natural Language Learning" (CoNLL) on topics of common interest. Joint sessions will include invited talks and paper presentations, depending on submissions. Submission procedure ------------------- Full papers may be up to 10 pages, short papers up to 6 pages, both in a 11 point font and single-spaced. We accept either electronic submission (preferred), in Postscript, PDF or Word format, or paper submissions (in 4 copies) to the following address: Claire Nedellec LLL workshop LRI, Bat 490 e-mail: cn@lri.fr Universite Paris-Sud Tel: +33 (0)1 69 15 66 26 F-91405 Orsay Fax: +33 (0)1 69 15 65 86 FRANCE Program committee ----------------- Program chair ------------- Claire Nedellec (LRI, University of Paris-Sud, France) Members ------- Pieter Adriaans (Syllogic and University of Amsterdam, Netherlands) Roberto Basili (University of Roma, Italy) Gilles Bisson (INRIA, Grenoble, France) Henrik Boström (University of Stockholm, Sweden) Gosse Bouma (University of Groningen, Netherlands) James Cussens (University of York, UK) Tomaz Erjavec (Institute Jozef Stefan, Slovenia) Daniel Kayser (LIPN, University Paris-Nord, France) Suresh Manandhar (University of York, UK) Guenter Neumann (DFKI, Germany) Steve Pulman (University of Cambridge, UK) Christer Samuelsson (XRCE, Grenoble, France) Stefan Wrobel (University of Magdeburg, Germany) Organization ------------ Arlindo Oliveira (INESC, Lisbon, Portugal)