Automatic Discovery of Attribute Words from Web Documents

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 proc...

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Hauptverfasser: Tokunaga, Kosuke, Kazama, Jun’ichi, Torisawa, Kentaro
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Speech and sound recognition and synthesis. Linguistics
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Beschreibung
Zusammenfassung: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.
ISSN:0302-9743
1611-3349
DOI:10.1007/11562214_10