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 thatthe technique can help in situations when the extraction procedure is to beapplied 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.- Anthology ID:
- L06-1379
- Volume:
- Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
- Month:
- May
- Year:
- 2006
- Address:
- Genoa, Italy
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2006/pdf/621_pdf.pdf
- DOI:
- Cite (ACL):
- Pavel Smrž. 2006. Automatic Acquisition of Semantics-Extraction Patterns. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
- Cite (Informal):
- Automatic Acquisition of Semantics-Extraction Patterns (Smrž, LREC 2006)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2006/pdf/621_pdf.pdf