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- 田中 信彰
- 青山学院大学理工学部情報テクノロジー学科
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- 面来 道彦
- 青山学院大学理工学研究科経営工学
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- 野口 貴
- 青山学院大学理工学研究科経営工学
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- 矢後 友和
- 青山学院大学理工学研究科経営工学
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- 韓 東力
- Department of Integrated Information Technology, Faculty of Science and Engineering, Aoyama Gakuin University
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- 原田 実
- Department of Integrated Information Technology, Faculty of Science and Engineering, Aoyama Gakuin University
書誌事項
- タイトル別名
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- Summarizing System ABISYS based on semantic analysis
抄録
We developed a summarizing system ABISYS based on the output of semantic analysis system SAGE. ABISYS extracts important words from an ariticle and generates summary sentences according to the word meanings and the deep cases among the words in the output from SAGE. In this paper, we define five kinds of scores to evaluate the importance of a word respectively on repetition information, context information, position information, opinion word information and topic-focus information. We first calculate the above scores for each substantive and reflect them in a five-dimensional space. Then the probability of each substantive to be important is calculated using SVM. Finally, we complement the indispensable cases for verbs and the sahen nouns that have been selected as important words, and use them as the summary element words to generate legible Japanese sentences. We carried out a subjectivity evaluation for our system output by refering to the summaries made by human. In comparison with the subjectivity evaluations made for other summarizing systems, we found that the point of legibility was on a par with other systems, while the point of content covering was much better. And 95% of the summary sentences generated by ABISYS were acknowledged as correct Japanese sentences.
収録刊行物
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- 自然言語処理
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自然言語処理 13 (1), 143-164, 2006
一般社団法人 言語処理学会
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詳細情報
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- CRID
- 1390001204476371328
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- NII論文ID
- 130004101409
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- ISSN
- 21858314
- 13407619
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可