Topic relatedness in evaluative information extraction

机译：评价信息提取中的主题相关性

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摘要

The task of extracting opinions/evaluations related to a given topic from a large number of documents such as Web documents is crucial for developing an automatic evaluation finding system, which can handle a wide variety of topics as input. In this paper, we discuss the topic relatedness of extracted evaluation through analysis of a corpus we developed. We suggest here that the semantic relationship between the target of each extracted evaluation and a given topic helps in judging topic relatedness. In addition, we point out other factors that are beyond the analysis of topic-target relations for judging the topic relatedness of evaluation.

机译：从大量文档（例如Web文档）中提取与给定主题相关的意见/评估的任务对于开发自动评估查找系统至关重要，该系统可以处理各种主题作为输入。在本文中，我们通过对我们开发的语料库的分析来讨论提取评估的主题相关性。我们在这里建议，每个提取的评估的目标与给定主题之间的语义关系有助于判断主题相关性。此外，我们指出了在判断主题与主题之间的相关性之外，还需要分析主题与主题之间的关系以外的其他因素。

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《3rd international universal communications symposium 2009》|2009年|P.120-125|共6页
会议地点 Tokyo(JP);Tokyo(JP)
作者
Takuya Kawada; rnTetsuji Nakagawa; rnKentaro Inui; rnSadao Kurohashi;
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NICT 3-5 Hikaridai Seika-cho Soraku-gun, Kyoto, 619-0289;

rnNICT 3-5 Hikaridai Seika-cho Soraku-gun, Kyoto, 619-0289;

rnNara Institute of Science and Technology 8916-5 Takayama, Ikoma, Nara, 630-0192;

rnKyoto University Yoshida-hommachi, Sakyo-ku Kyoto, 606-8501;

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Topic relatedness in evaluative information extraction

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