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Automatic Acquisition of Semantics-Extraction Patterns

SMRŽ, P. Automatic Acquisition of Semantics-Extraction Patterns. Proceedings of the 5th International Conference on Language Resources and Evaluation. Paris: European Language Resources Association, 2006. p. 1-4. ISBN: 2-9517408-2-4.
Type
conference paper
Language
English
Authors
Abstract

This paper examines the use of parallel andcomparable corpora for automatic acquisition of semantics-extraction patterns.It presents a new method of the pattern extraction which takes advantage ofparallel texts to "port" text mining solutions from a source language to atarget language. It is shown that the technique can help in situations when theextraction procedure is to be applied in a language (languages) with a limitedset of available resources, e.g. domain-specific thesauri. The primarymotivation of our work lies in a particular multilingual e-learning system. Fortesting purposes, other applications of the given approach were implemented.They include pattern extraction from general texts (tested on wordnetrelations), acquisition of domain-specific patterns from large parallel corpusof legal EU documents, and mining of subjectivity expressions for multilingualopinion extraction system.

Keywords

parallel corpus, lexico-semantic patterns

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
ISBN
2-9517408-2-4
Publisher
European Language Resources Association
Place
Paris
BibTeX
@inproceedings{BUT22422,
  author="Pavel {Smrž}",
  title="Automatic Acquisition of Semantics-Extraction Patterns",
  booktitle="Proceedings of the 5th International Conference on Language Resources and Evaluation",
  year="2006",
  pages="1--4",
  publisher="European Language Resources Association",
  address="Paris",
  isbn="2-9517408-2-4"
}
Projects
Specifický výzkum, BUT, Vnitřní projekty VUT, SV, start: 2005-01-01, end: 2009-12-31, completed
Research groups
Departments
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