Automatic discovery of attribute words from web documents

Authors:
Kosuke Tokunaga;Jun'ichi Kazama;Kentaro Torisawa
Affiliations:
Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan;Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan;Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan
Venue:
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Year:
2005

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Abstract

We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of words, lexico-syntactic patterns, and HTML tags. To evaluate the attribute words, we also establish criteria and a procedure based on question-answerability about the candidate word.