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IJCNLP
2005
Springer

Automatic Discovery of Attribute Words from Web Documents

8 years 10 months ago
Automatic Discovery of Attribute Words from Web Documents
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.
Kosuke Tokunaga, Jun'ichi Kazama, Kentaro Torisawa
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IJCNLP
Authors Kosuke Tokunaga, Jun'ichi Kazama, Kentaro Torisawa
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