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Please use this identifier to cite or link to this item: http://hdl.handle.net/10928/604

Title: 新聞記事からの因果関係の抽出
Other Titles: An Extraction Method of Causal Knowledge from Newspaper Corpus
Authors: 坂地, 泰紀
酒井, 浩之
増山, 繁
SAKAJI, Hiroki
SAKAI, Hiroyuki
Keywords: Textmining
Information Extraction
Causal Knowledge
Issue Date: 1-Dec-2014
Publisher: 成蹊大学理工学部
Abstract: This paper proposes a method that extracts causal knowledge from news paper articles via clue expressions. Our method decides whether a sentence includes causal knowledge or not when the method extracts it. Therefore, our method can extract causal knowledge accurately. Furthermore, the advantage of our decision method is to extract causal knowledge manually without dictionaries and patterns.
URI: http://hdl.handle.net/10928/604
Appears in Collections:第51巻第2号

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