著者

高野 敦子 平井 誠 北橋 忠宏

出版者

一般社団法人電子情報通信学会

雑誌

電子情報通信学会技術研究報告. NLC, 言語理解とコミュニケーション

巻号頁・発行日

vol.95, no.29, pp.25-32, 1995-05-12

被引用文献数

2 1

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我々は,ユーザが自然言語を用いてシステムと対話することによってデータベースから情報を検索するためのユーザフレンドリーなインタフェースの提供を目指している.そのための基礎技術の1つとして,本研究ではユーザの検索文に対する協調的な応答生成手法を提案する.我々は,既に対話一般を対象として,質問文に対して協調的な応答を生成するモデルを提案している.そこで,ユーザの検索文を質問文と捉え,そのモデルをデータベース検索という観点から再構成することによって協調的な応答生成手法を示す.本手法では,検索者の意図を考慮することにより,検索の失敗への対応含めてより検索者の目的に合った応答の実現を図る.また,検索者の意図の実現や心理的要素を考慮して検索者にとって有用な情報を付加した応答を生成する.

著者

高野 敦子 池奥 渉太 北村 泰彦

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.24, no.3, pp.322-332, 2009

被引用文献数

3 2

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Recently, the role of reputation information in on-line discussion groups and review sites has received much attention, and that has spurred a great deal of research on sentiment analysis of web documents. It is well known that collecting sentiment expressions, which tend to be domain-dependent, is useful for sentiment analysis. However, it can be prohibitively costly to manually collect expressions for each domain. The purpose of this paper is to propose an automatic method to acquire sentiment expressions on a specific subject from web documents.<BR> Our approach is based on a characteristic of sentiment expressions that often appear with their sentiment causes and both of them have cause-and-effect relationships. We develop a technique for recognizing cause-and-effect relationships between sentiment expressions and their sentiment causes using the results of dependency structure analysis. The proposed method uses this technique to extract sentiment causes starting from a small set of seed sentiment expressions, and extracts sentiment expressions from a set of sentiment causes. <BR> To evaluate this work, we conducted experiments using discussion board messages about hotels and sweets. The results demonstrate that the proposed method effectively extract diversified sentiment expressions relevant to each domain and possesses adequate precision. Precision is also found to be better for compound sentiment expressions.

著者

高野 敦子 池奥 渉太 北村 泰彦

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.24, no.3, pp.322-332, 2009 (Released:2009-04-16)

参考文献数

11

被引用文献数

2

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Recently, the role of reputation information in on-line discussion groups and review sites has received much attention, and that has spurred a great deal of research on sentiment analysis of web documents. It is well known that collecting sentiment expressions, which tend to be domain-dependent, is useful for sentiment analysis. However, it can be prohibitively costly to manually collect expressions for each domain. The purpose of this paper is to propose an automatic method to acquire sentiment expressions on a specific subject from web documents. Our approach is based on a characteristic of sentiment expressions that often appear with their sentiment causes and both of them have cause-and-effect relationships. We develop a technique for recognizing cause-and-effect relationships between sentiment expressions and their sentiment causes using the results of dependency structure analysis. The proposed method uses this technique to extract sentiment causes starting from a small set of seed sentiment expressions, and extracts sentiment expressions from a set of sentiment causes. To evaluate this work, we conducted experiments using discussion board messages about hotels and sweets. The results demonstrate that the proposed method effectively extract diversified sentiment expressions relevant to each domain and possesses adequate precision. Precision is also found to be better for compound sentiment expressions.