Automatic Acquisition of Usage Information for Language Resources

Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, Shigeki Matsubara

Abstract
Recently, language resources (LRs) are becoming indispensable for linguistic research. Unfortunately, it is not easy to find their usages by searching the web even though they must be described in the Internet or academic articles. This indicates that the intrinsic value of LRs is not recognized very well. In this research, therefore, we extract a list of usage information for each LR to promote the efficient utilization of LRs. In this paper, we proposed a method for extracting a list of usage information from academic articles by using rules based on syntactic information. The rules are generated by focusing on the syntactic features that are observed in the sentences describing usage information. As a result of experiments, we achieved 72.9% in recall and 78.4% in precision for the closed test and 60.9% in recall and 72.7% in precision for the open test.
Anthology ID:
L08-1292
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/169_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto, and Shigeki Matsubara. 2008. Automatic Acquisition of Usage Information for Language Resources. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
Automatic Acquisition of Usage Information for Language Resources (Kozawa et al., LREC 2008)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/169_paper.pdf
PDF Search