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.
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Tokunaga, K., Kazama, J., Torisawa, K. (2005). Automatic Discovery of Attribute Words from Web Documents. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_10
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DOI: https://doi.org/10.1007/11562214_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29172-5
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