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

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Title Annotating, Disambiguating & Automatically Extending the Coverage of the Swedish SIMPLE Lexicon

Authors Kokkinakis Dimitrios (Sprakdata, Goteborg University, Box 200, SE-405 30, Sweden, svedk@svenska.gu.se)
Toporowska Gronostaj Maria (Sprakdata, Goteborg University, Box 200, SE-405 30, Sweden, svemt@svenska.gu.se)
Warmenius Karin (Sprakdata, Goteborg University, Box 200, SE-405 30, Sweden, svekws@svenska.gu.se)

Keywords Compounding, Semantic Lexicons, Semantic Tagging, Shallow Parsing, SIMPLE

Session Session WO17 - Semantic Lexicons

Abstract During recent years the development of high-quality lexical resources for real-world Natural Language Processing (NLP) applications has gained a lot of attention by many research groups around the world, and the European Union, through the promotion of the language engineering projects dealing directly or indirectly with this topic. In this paper, we focus on ways to extend and enrich such a resource, namely the Swedish version of the SIMPLE lexicon in an automatic manner. The SIMPLE project ({\it Semantic Information for Multifunctional Plurilingual Lexica}) aims at developing wide-coverage semantic lexicons for 12 European languages, though on a rather small scale for practical NLP, namely less than 10,000 entries. Consequently, our intention is to explore and exploit various (inexpensive) methods to progressively enrich the resources and, subsequently, to annotate texts with the semantic information encoded within the framework of SIMPLE, and enhanced with the semantic data from the {\it Gothenburg Lexical DataBase} (GLDB) and from large corpora.

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Title	Annotating, Disambiguating & Automatically Extending the Coverage of the Swedish SIMPLE Lexicon
Authors	Kokkinakis Dimitrios (Sprakdata, Goteborg University, Box 200, SE-405 30, Sweden, svedk@svenska.gu.se) Toporowska Gronostaj Maria (Sprakdata, Goteborg University, Box 200, SE-405 30, Sweden, svemt@svenska.gu.se) Warmenius Karin (Sprakdata, Goteborg University, Box 200, SE-405 30, Sweden, svekws@svenska.gu.se)
Keywords	Compounding, Semantic Lexicons, Semantic Tagging, Shallow Parsing, SIMPLE
Session	Session WO17 - Semantic Lexicons
Abstract	During recent years the development of high-quality lexical resources for real-world Natural Language Processing (NLP) applications has gained a lot of attention by many research groups around the world, and the European Union, through the promotion of the language engineering projects dealing directly or indirectly with this topic. In this paper, we focus on ways to extend and enrich such a resource, namely the Swedish version of the SIMPLE lexicon in an automatic manner. The SIMPLE project ({\it Semantic Information for Multifunctional Plurilingual Lexica}) aims at developing wide-coverage semantic lexicons for 12 European languages, though on a rather small scale for practical NLP, namely less than 10,000 entries. Consequently, our intention is to explore and exploit various (inexpensive) methods to progressively enrich the resources and, subsequently, to annotate texts with the semantic information encoded within the framework of SIMPLE, and enhanced with the semantic data from the {\it Gothenburg Lexical DataBase} (GLDB) and from large corpora.