| Autor: |
Tokunaga, K., Kazama, J, Torisawa, K |
| Jazyk: |
angličtina |
| Rok vydání: |
2005 |
| Zdroj: |
Lecture Notes in Computer Science : including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 3651:106-118 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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