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8

IJCNLP
2005
Springer

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Automatic Discovery of Attribute Words from Web Documents

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Automatic Discovery of Attribute Words from Web Documents

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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

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Attribute Words | IJCNLP 2005 | Japanese Web Documents | Natural Language Processing | Simple Unsupervised Method |

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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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