LREC 2000 - Papers

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

Conference Papers

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Title Controlled Bootstrapping of Lexico-semantic Classes as a Bridge between Paradigmatic and Syntagmatic Knowledge: Methodology and Evaluation

Authors Allegrini Paolo (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, allegrip@ilc.pi.cnr.it)
Montemagni Simonetta (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, simo@ilc.pi.cnr.it)
Pirrelli Vito (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, vito@ilc.pi.cnr.it)

Keywords Analogy-Based Aquisition, Functional Annotation, Semantic Classification

Session Session WO8 - Acquisition of Semantic Information

Abstract Semantic classification of words is a highly context sensitive and somewhat moving target, hard to deal with and even harder to evaluate on an objective basis. In this paper we suggest a step–wise methodology for automatic acquisition of lexico–semantic classes and delve into the non trivial issue of how results should be evaluated against a top–down reference standard.

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Title	Controlled Bootstrapping of Lexico-semantic Classes as a Bridge between Paradigmatic and Syntagmatic Knowledge: Methodology and Evaluation
Authors	Allegrini Paolo (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, allegrip@ilc.pi.cnr.it) Montemagni Simonetta (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, simo@ilc.pi.cnr.it) Pirrelli Vito (Istituto di Linguistica Computazionale – CNR, Via Alfieri 1 - Pisa 56010 - ITALY, vito@ilc.pi.cnr.it)
Keywords	Analogy-Based Aquisition, Functional Annotation, Semantic Classification
Session	Session WO8 - Acquisition of Semantic Information
Abstract	Semantic classification of words is a highly context sensitive and somewhat moving target, hard to deal with and even harder to evaluate on an objective basis. In this paper we suggest a step–wise methodology for automatic acquisition of lexico–semantic classes and delve into the non trivial issue of how results should be evaluated against a top–down reference standard.