Summary of the paper

Title Automatic Acquisition of Usage Information for Language Resources
Authors Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto and 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.
Language Language-independent
Topics Information Extraction, Information Retrieval, Text mining, Metadata
Full paper Automatic Acquisition of Usage Information for Language Resources
Slides -
Bibtex @InProceedings{KOZAWA08.169,
  author = {Shunsuke Kozawa, Hitomi Tohyama, Kiyotaka Uchimoto and Shigeki Matsubara},
  title = {Automatic Acquisition of Usage Information for Language Resources},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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