Popelinsky L., Nepil M. (eds.): Proceedings of the Third Learning Language in Logic (LLL) Workshop, Strasbourg, France, 8-9 September 2001. Technical report FIMU-RS-2001-08, FI MU Brno, Czech Republic, 2001, 66 pages.
Available as PostScript, PDF.
Alexin Z., Leipold P., Csirik J., Bibok K., Gyimothy T.: A Rule-Based Tagger Development Framework Besombes J., Marion J.-Y.: Identification of reversible dependency tree languages Dudau-Sofronie D., Tellier I., Tommasi M.: From Logic to Grammars via Types Nakabasami C.: Interactive Background Knowledge Acquisition for Inducing Differences among Documents Nepil M., Popelinsky L., Zackova E.: Part-of-Speech Tagging by Means of Shallow Parsing, ILP and Active Learning Retore C., Bonato R.: Learning Rigid Lambek Grammars and Minimalist Grammars from Structured Sentences
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
The workshop will be two half days, including 1 invited talk, a joint ILP/LLL session, and a session on works in progress.
Works in progress will be published in a separate working notes.
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 Nédellec (LRI, University of Paris-Sud, France) Guenter Neumann (DFKI, Saarbrücken, Germany) Lubos Popelinsky (Masaryk University in Brno, Czechia) (chair) Stefan Wrobel (University of Magdeburg, Germany)
Nicolas Lachiche (LSIIT Strasbourg, France)
Dan Roth (University of Illinois, USA)
LLL 2001 is financially supported by the Network of Excellence in Inductive Logic Programming ILPnet2 funded under the European Union's INCO program.
Dept. of Comp. Sci., Faculty of Informatics
Masaryk University, Botanická 68a
CZ-602 00 Brno, Czech Republic
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Fax: +420 5 4121 2568
Saturday, September 8th ----------------------- 14,00 Opening 14,15 From Logic to Grammars via Types Dudau-Sofronie D., Tellier I., Tommasi M. 14,45 Learning Rigid Lambek Grammars and Minimalist Grammars from Structured Sentences Retore C., Bonato R. 15,15 Identification of reversible dependency tree languages Besombes J., Marion J.-Y. 15,45 Coffee break 16,15 A Rule-Based Tagger Development Framework Alexin Z. et al. 16,45 Part-of-Speech Tagging by Means of Shallow Parsing, ILP and Active Learning Nepil M., Popelinsky L., Zackova E. 17,15 Interactive Background Knowledge Acquisition for Inducing Differences among Documents Nakabasami C. 17,45 Closing Sunday, September 9th (Join session with ILP conference) ----------------------- 9,00 Opening Session 9,20 Natural Language Learning: Relational Learning via Propositional Algorithms Dan Roth, Invited Speaker 10,20 Break 10,45 Automated Parser Construction from a Treebank by means of TBL and ILP Miloslav Nepil 11,25 Learning functions from imperfect positive data Filip Zelezny 12,05 Deductive and Inductive Reasoning on Semi-Structured Documents Modelled with Hedges Akihiro Yamamoto, Kimihito Ito, Akira Ishino & Hiroki Arimura 12,30 Lunch