Cause Information Extraction from Financial Articles Concerning Business Performance
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概要
- 論文の詳細を見る
We propose a method of extracting cause information from Japanese financial articles concerning business performance. Our method acquires cause informtion, e. g. “_??__??__??__??__??__??__??__??__??__??_ (zidousya no uriage ga koutyou: Sales of cars were good)”. Cause information is useful for investors in selecting companies to invest. Our method extracts cause information as a form of causal expression by using statistical information and initial clue expressions automatically. Our method can extract causal expressions without predetermined patterns or complex rules given by hand, and is expected to be applied to other tasks for acquiring phrases that have a particular meaning not limited to cause information. We compared our method with our previous one originally proposed for extracting phrases concerning traffic accident causes and experimental results showed that our new method outperforms our previous one.
- （社）電子情報通信学会の論文
- 2008-04-01
著者
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Masuyama Shigeru
Department of Chest Medicine, School of Medicine, Chiba University
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SAKAI Hiroyuki
Department of Dermatology, Fukagawa City General Hospital
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Masuyama Shigeru
Department Of Applied Mathematics And Physics Faculty Of Engineering Kyoto University
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Sakai Hiroyuki
Toyohashi Univ. Technol. Toyohashi‐shi Jpn
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Sakai Hiroyuki
Department Of Agricultural Chemistry Faculty Of Agriculture Niigata University
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