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EACL 2009 workshop on
Computational Linguistic Aspects of Grammatical Inference
2nd Call for Participation
27 February 2009: early bird registration deadline
30 March 2009
The 12th Conference of the
European Chapter of the Association for Computational Linguistics
There has been growing interest over the last few years in learning grammars from natural language text (and structured or semi-structured text). The family of techniques enabling such learning is usually called "grammatical inference" or "grammar induction".
The field of grammatical inference is often subdivided into formal grammatical inference, where researchers aim to proof efficient learnability of classes of grammars, and empirical grammatical inference, where the aim is to learn structure from data. In this case the existence of an underlying grammar is just regarded as a hypothesis and what is sought is to better describe the language through some automatically learned rules.
Both formal and empirical grammatical inference have been linked with (computational) linguistics. Formal learnability of grammars has been used in discussions on how people learn language. Some people mention proofs of (non-)learnability of certain classes of grammars as arguments in the empiricist/nativist discussion. On the more practical side, empirical systems that learn grammars have been applied to natural language. Instead of proving whether classes of grammars can be learnt, the aim here is to provide practical learning systems that automatically introduce structure in language. Example fields where initial research has been done are syntactic parsing, morphological analysis of words, and bilingual modeling (or machine translation).
This workshop at EACL 2009 aims to explore the state-of-the-art in these topics. In particular, we aim at bringing formal and empirical grammatical inference researchers closer together with researchers in the field of computational linguistics.
Session 1 09:00-09:30
Invited talk: On bootstrapping of linguistic features for
Session 2: Transduction 11:00-11:30
Dialogue Act Prediction Using Stochastic Context-Free Grammar
Dana Angluin and Leonor Becerra-Bonache
Experiments Using OSTIA for a Language Production Task 12:00-12:30
Jorge González and Francisco Casacuberta
GREAT: a finite-state machine translation toolkit implementing a
Grammatical Inference Approach for Transducer Inference (GIATI)
Session 3: Language models and parsing 14:00-14:30
Alexander Clark, Remi Eyraud and Amaury Habrard
A note on contextual binary feature grammars 14:30-15:00
Herman Stehouwer and Menno van Zaanen
Language models for contextual error detection and correction 15:00-15:30
Marie-HÃ©lÃšne Candito, Benoit CrabbÃ© and DjamÃ© Seddah
On statistical parsing of French with supervised and semi-supervised
Franco M. Luque and Gabriel Infante-Lopez
Upper Bounds for Unsupervised Parsing with Unambiguous
Non-Terminally Separated Grammars
Session 4: Morphology 16:30-17:00
A comparison of several learners for Boolean partitions:
implications for morphological paradigm 17:00-18:00
Registration for the workshop is done through the EACL website. http://www.eacl2009.gr/conference/callforparticipation points to the EACL Call for Participation. Registration can be done at http://www.eacl2009.gr/conference/registration
Pieter Adriaans, University of Amsterdam, The Netherlands Srinivas Bangalore, AT&T Labs-Research, USA Leonor Becerra-Bonache, Yale University, USA Rens Bod, University of Amsterdam, The Netherlands Antal van den Bosch, Tilburg University, The Netherlands Alexander Clark, Royal Holloway, University of London, UK Walter Daelemans, University of Antwerp, Belgium Shimon Edelman, Cornell University, USA Jeroen Geertzen, University of Cambridge, UK Jeffrey Heinz, University of Delaware, USA Colin de la Higuera, Université de Saint-Etienne, France (co-chair) Alfons Juan, Universidad Politecnica de Valencia, Spain Frantisek Mraz, Charles University, Czech Republic Khalil Sima'an, University of Amsterdam, The Netherlands Richard Sproat, University of Illinois at Urbana-Champaign, USA Menno van Zaanen, Tilburg University, The Netherlands (co-chair) Willem Zuidema, University of Amsterdam, The Netherlands
Menno van Zaanen, Tilburg University, The Netherlands (co-chair) Colin de la Higuera, Université de Saint-Etienne, France (co-chair)
Menno van Zaanen Department of Communication and Information Sciences Tilburg University The Netherlands mvzaanen (at) uvt.nl