Publication Details

Automatic Acquisition of Semantics-Extraction Patterns

SMRŽ Pavel. Automatic Acquisition of Semantics-Extraction Patterns. In: Proceedings of the 5th International Conference on Language Resources and Evaluation. Paris: European Language Resources Association, 2006, pp. 1-4. ISBN 2-9517408-2-4.
Czech title
Automatic Acquisition of Semantics-Extraction Patterns
Type
conference paper
Language
english
Authors
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT)
Keywords

parallel corpus, lexico-semantic patterns

Abstract

This paper examines the use of parallel and comparable corpora for automatic acquisition of semantics-extraction patterns. It presents a new method of the pattern extraction which takes advantage of parallel texts to "port" text mining solutions from a source language to a target language. It is shown that the technique can help in situations when the extraction procedure is to be applied in a language (languages) with a limited set of available resources, e.g. domain-specific thesauri. The primary motivation of our work lies in a particular multilingual e-learning system. For testing purposes, other applications of the given approach were implemented. They include pattern extraction from general texts (tested on wordnet relations), acquisition of domain-specific patterns from large parallel corpus of legal EU documents, and mining of subjectivity expressions for multilingual opinion extraction system.

Published
2006
Pages
1-4
Proceedings
Proceedings of the 5th International Conference on Language Resources and Evaluation
Conference
5th International Conference on Language Resources and Evaluation, Genoa, IT
ISBN
2-9517408-2-4
Publisher
European Language Resources Association
Place
Paris, FR
BibTeX 
@INPROCEEDINGS{FITPUB8120,
   author = "Pavel Smr\v{z}",
   title = "Automatic Acquisition of Semantics-Extraction Patterns",
   pages = "1--4",
   booktitle = "Proceedings of the 5th International Conference on Language Resources and Evaluation",
   year = 2006,
   location = "Paris, FR",
   publisher = "European Language Resources Association",
   ISBN = "2-9517408-2-4",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8120"
}
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