****************************************************************** ACL 2005 WORKSHOP ON DEEP LEXICAL ACQUISITION Sponsored by the ACL Special Interest Group on the Lexicon (SIGLEX) 30 June, 2005 Ann Arbor, USA http://www.cs.mu.oz.au/~tim/events/acl2005/ Submission deadline: 11 April, 2005 WORKSHOP DESCRIPTION In natural language processing (NLP), there is a pressing need to develop deep lexical resources (e.g. lexicons for linguistically-precise grammars, template sets for information extraction systems, ontologies for word sense disambiguation). Such resources are critical for enhancing the performance of systems and for improving their portability between domains. For example, to perform reliably, an information extraction system needs access to high-quality lexicons or templates specific to the task at hand. Most deep lexical resources have been developed manually by lexicographers. Manual work is costly and the resulting resources have limited coverage, and require labour-intensive porting to new tasks. Automatic lexical acquisition is a more promising and cost-effective approach to take, and is increasingly viable given recent advances in NLP and machine learning technology, and corpus availability. While advances have recently been made in some areas of automatic deep lexical acquisition, a number of important challenges need addressing before benefits can be reaped in practical language engineering: * Acquisition of deep lexical information from corpora While corpus data has been successfully applied in learning certain types of deep lexical information (e.g. semantic relations, subcategorization, selectional preferences), there remain a broad range of lexical relations that corpus-based techniques have yet to be applied to. * Accurate, large-scale, portable acquisition techniques One of the biggest current research challenges is how to improve the accuracy of existing acquisition techniques further, at the same time as improving both scalability and robustness. * Use of deep lexical acquisition in recognised applications Although lexical acquisition has the potential to boost performance in many NLP application tasks, this has yet to be demonstrated for many important applications. * Multilingual deep lexical acquisition For theoretical and practical reasons it is important to test whether techniques developed for one language (typically English) can be used to benefit research on other languages. TARGET AUDIENCE The workshop will be of interest to anyone interested in automatically acquired deep lexical information, e.g. in the areas of computational grammars, computational lexicography, machine translation, information retrieval, question-answering, and text mining. Areas of Interest * Automatic acquisition of deep lexical information: o subcategorization o diathesis alternations o selectional preferences o lexical / semantic classes o qualia structure o lexical ontologies o semantic roles o word senses etc. * Methods for supervised, unsupervised and weakly supervised deep lexical acquisition (machine learning, statistical, example- or rule-based, hybrid etc.) * Large-scale, cross-domain, domain-specific and portable deep lexical acquisition * Extending and refining existing lexical resources with automatically acquired information * Evaluation of deep lexical acquisition * Application of deep lexical acquisition to NLP applications (e.g. machine translation, information extraction, language generation, question-answering) * Multilingual deep lexical acquisition IMPORTANT DATES Paper submission deadline: 11 April, 2005 Notification date: 2 May, 2005 Camera-ready submission deadline: 16 May, 2005 Workshop date: 30 June, 2005 SUBMISSION DETAILS Requirements Papers should describe original work; they should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Wherever appropriate, concrete evaluation results should be included. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees. A paper accepted for presentation at the workshop, cannot be presented or have been presented at any other meeting with publicly available published proceedings. Papers that are being submitted to other conferences or workshops must indicate this on the title page, as must papers that contain significant overlap with previously published work. Reviewing The reviewing of the papers will be blind. Each submission will be reviewed by at least three programme committee members. Submission Information Submissions should follow the two-column format of ACL proceedings and should not exceed eight (8) pages, including references. We strongly recommend the use of ACL-05 LaTeX style files or Microsoft Word Style files. They are available at http://www.aclweb.org/acl2005/styles/. A description of the format is also available in case you are unable to use these style files directly. Papers must conform to the official ACL-05 style guidelines, and we reserve the right to reject submissions that do not conform to these styles including font size restrictions. As reviewing will be blind, the paper should not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Papers that do not conform to these requirements will be rejected without review. Papers should be submitted electronically in BOTH Postscript and PDF format to: dla-acl2005@unimelb.edu.au The following identification information should be sent in a separate email with the subject line "ACL2005 WORKSHOP ID PAGE": Title: title of paper Authors: list of all authors Keywords: up to five topic keywords Contact author: email address of author of record (for correspondence) Abstract: abstract of paper (not more than 10 lines) Notification of receipt will be emailed to the contact author. ORGANISING COMMITTEE Timothy Baldwin University of Melbourne, Australia Anna Korhonen University of Cambridge, UK NII, Japan Aline Villavicencio University of Essex, UK PROGRAMME COMMITTEE Collin Baker (University of California Berkeley, USA) Roberto Basili (University of Rome Tor Vergata, Italy) Francis Bond (NTT, Japan) Chris Brew (Ohio State University, USA) Ted Briscoe (University of Cambridge, UK) John Carroll (University of Sussex, UK) Stephen Clark (University of Oxford, UK) Sonja Eisenbeiss (University of Essex, UK) Christiane Fellbaum (University of Princeton, USA) Frederick Fouvry (University of Saarland, Germany) Sadao Kurohashi (University of Tokyo, Japan) Diana McCarthy (University of Sussex, UK) Rada Mihalcea (University of North Texas, USA) Tom O'Hara (University of Maryland, Baltimore County, USA) Martha Palmer (University of Pennsylvania, USA) Massimo Poesio (University of Essex, UK) Philip Resnik (University of Maryland, USA) Patrick Saint-Dizier (IRIT-CNRS, France) Sabine Schulte im Walde (University of Saarland, Germany) Mark Steedman (University of Edinburgh, Scotland, UK) Mark Stevenson (University of Sheffield, UK) Suzanne Stevenson (University of Toronto, Canada) Dominic Widdows (MAYA Design, Inc., USA) Yorick Wilks (University of Sheffield, UK) Dekai Wu (Hong Kong University of Science and Technology)