@article{oai:nagoya.repo.nii.ac.jp:00013226,
 author = {Kozawa, Shunsuke and Tohyama, Hitomi and Uchimoto, Kiyotaka and Matsubara, Shigeki},
 journal = {Proceedings of the International Conference on Language Resources and Evaluation, LREC 2008, 26 May - 1 June 2008, Marrakech, Morocco},
 month = {May},
 note = {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., L08;1292},
 pages = {672--677},
 title = {Automatic Acquisition of Usage Information for Language Resources},
 year = {2008}
}