LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

Conference Papers

Papers by paper title: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Papers by ID number: 1-50, 51-100, 101-150, 151-200, 201-250, 251-300, 301-350, 351-377.

List of all papers and abstracts.

Previous Paper Next Paper

Title SIMPLE: A General Framework for the Development of Multilingual Lexicons

Authors Bel Nuria (GILCUB (Grup Investigacio Linguistica Computacional Universitat Barcelona), nuria@gilcub.es)
Busa Federica (Istituto di Linguistica Computazionale, Pisa, Brandeis University)
Calzolari Nicoletta (Istituto di Linguistica Computazionale, CNR, Area della Ricerca di Pisa, Via Alfieri 1, Loc. S. Cataldo, Ghezzano 56010 (PI) – ITALY, glottolo@ilc.pi.cnr.it)
Gola Elisabetta (Istituto di Linguistica Computazionale, Pisa)
Lenci Alessandro (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, lenci@ilc.pi.cnr.it)
Monachini Monica (Istituto di Linguistica Computazionale, Pisa)
Ogonowski Antoine (LexiQuest)
Peters Ivonne (Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK, ivonne@dcs.shef.ac.uk)
Peters Wim (Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK, w.peters@dcs.shef.ac.uk )
Ruimy Nilda (Istituto di Linguistica Computationale. CNR nilda@ilc.pi.cnr.it)
Villegas Marta (Institut d’Estudis Catalans, mvillegas@iec.es)
Zampolli Antonio (Istituto di Linguistica Computationale. CNR parole@ilc.pi.cnr.it)

Keywords Computational Lexicons, Lexical Semantics, Resources, Syntax-Semantics Linking

Session Session WO17 - Semantic Lexicons

Abstract The project LE-SIMPLE is an innovative attempt of building harmonized syntactic-semantic lexicons for 12 European languages, aimed at use in different Human Language Technology applications. SIMPLE provides a general design model for the encoding of a large amount of semantic information, spanning from ontological typing, to argument structure and terminology. SIMPLE thus provides a general framework for resource development, where state-of-the-art results in lexical semantics are coupled with the needs of Language Engineering applications accessing semantic information.

me-->

Title	SIMPLE: A General Framework for the Development of Multilingual Lexicons
Authors	Bel Nuria (GILCUB (Grup Investigacio Linguistica Computacional Universitat Barcelona), nuria@gilcub.es) Busa Federica (Istituto di Linguistica Computazionale, Pisa, Brandeis University) Calzolari Nicoletta (Istituto di Linguistica Computazionale, CNR, Area della Ricerca di Pisa, Via Alfieri 1, Loc. S. Cataldo, Ghezzano 56010 (PI) – ITALY, glottolo@ilc.pi.cnr.it) Gola Elisabetta (Istituto di Linguistica Computazionale, Pisa) Lenci Alessandro (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, lenci@ilc.pi.cnr.it) Monachini Monica (Istituto di Linguistica Computazionale, Pisa) Ogonowski Antoine (LexiQuest) Peters Ivonne (Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK, ivonne@dcs.shef.ac.uk) Peters Wim (Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK, w.peters@dcs.shef.ac.uk ) Ruimy Nilda (Istituto di Linguistica Computationale. CNR nilda@ilc.pi.cnr.it) Villegas Marta (Institut d’Estudis Catalans, mvillegas@iec.es) Zampolli Antonio (Istituto di Linguistica Computationale. CNR parole@ilc.pi.cnr.it)
Keywords	Computational Lexicons, Lexical Semantics, Resources, Syntax-Semantics Linking
Session	Session WO17 - Semantic Lexicons
Abstract	The project LE-SIMPLE is an innovative attempt of building harmonized syntactic-semantic lexicons for 12 European languages, aimed at use in different Human Language Technology applications. SIMPLE provides a general design model for the encoding of a large amount of semantic information, spanning from ontological typing, to argument structure and terminology. SIMPLE thus provides a general framework for resource development, where state-of-the-art results in lexical semantics are coupled with the needs of Language Engineering applications accessing semantic information.