LREC 2000 2nd International Conference on Language Resources & Evaluation  
Home Basic Info Archaeological Zappeion Registration Conference

Conference Papers

Program
Papers
Sessions
Abstracts
Authors
Keywords
Search

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 Tuning Lexicons to New Operational Scenarios
Authors Basili Roberto (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), basili@info.uniroma2.it)
Pazienza Maria Teresa (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), pazienza@info.uniroma2.it)
Vindigni Michele (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), vindigni@info.uniroma2.it)
Zanzotto Fabio Massimo (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), zanzotto@info.uniroma2.it)
Keywords Event Recognition, Induction, Lexical Acquisition, Lexical Tuning, Lexicon, Word Sense Disambiguation
Session Session WO6 - Acquisition of Lexical Information
Abstract In this paper the role of the lexicon within typical application tasks based on NLP is analysed. A large scale semantic lexicon is studied within the framework of a NLP application. The coverage of the lexicon with respect the target domain and a (semi)automatic tuning approach have been evaluated. The impact of a corpus-driven inductive architecture aiming to compensate lacks in lexical information are thus measured and discussed.

 

ce="Verdana">