文章基本信息

标题：Lexical Head-based Extraction of Political Problems
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作者：Yasutomo KIMURA ; Satoshi SEKINE
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2013
卷号：28
期号：4
页码：370-378
DOI：10.1527/tjsai.28.370
出版社：The Japanese Society for Artificial Intelligence
摘要：This paper presents an information extraction method of political problems in minutes of local council which include councilor's utterances impartially. We focus on lexical heads of noun phrases in order to extract political problems. In this paper, the lexical heads are limited to noun. Our method is divided into two steps as follows: First step, our system classifies whether a phrase of lexical head includes political problems or not. Second step, our system find the beginning position of phrase which was classified as a lexical head of political problems. We confirmed that effectiveness of our method in the evaluation experiment.
关键词：political problems ; local politics ; information extraction