著者

西山 莉紗 竹内 広宜 渡辺 日出雄 那須川 哲哉

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.6, pp.541-548, 2009 (Released:2009-10-20)

参考文献数

19

被引用文献数

3 2

---

It is important for R&D managers, consultants, and other people seeking broad knowledge in technology fields to survey technical literature such as research papers, white papers, and technology news articles. One of the important kinds of information for those people regards the effectiveness of new technologies in their own businesses. General search engines are good at selecting documents revealing the details of a specific technology or a technology field, but it is hard to obtain useful information about how a technology will apply to individual business cases from such search results. There is a need for a technology survey assistance tool that helps users find technologies with suitable capabilities. In this paper, two technical tasks were tackled to develop the prototype of this assistance tool: Extraction of advantage phrases and scoring for the advantage phrases to find novel applications in the target technology field. We describe a new method to identify advantage phrases in technical documents and our scoring function that gives higher scores to novel applications of the technology. The results of evaluations showed our phrase identification method with only a few phrasal patterns performs almost as well as human annotators, and the proposed scoring conforms better to the decisions made by professionals than random sort.

著者

西山 莉紗 竹内 広宜

出版者

人工知能学会

雑誌

人工知能学会全国大会論文集 (ISSN:13479881)

巻号頁・発行日

vol.24, 2010

---

ビジネス上重要な技術課題を解決することができる社内外の技術を知ることは,企業の知財戦略や技術戦略を検討する上で役立つことが期待される.本発表では,特許公報や科学技術論文などの技術文書から,ある課題の解決につながる効果を持った複数の技術を同定し,任意の技術課題を解決する技術を調査しているユーザーの検索要求に応えることを目指す.

著者

西山 莉紗 竹内 広宜 渡辺 日出雄 那須川 哲哉

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.6, pp.541-548, 2009

被引用文献数

1 2

---

It is important for R&D managers, consultants, and other people seeking broad knowledge in technology fields to survey technical literature such as research papers, white papers, and technology news articles. One of the important kinds of information for those people regards the effectiveness of new technologies in their own businesses. General search engines are good at selecting documents revealing the details of a specific technology or a technology field, but it is hard to obtain useful information about how a technology will apply to individual business cases from such search results. There is a need for a technology survey assistance tool that helps users find technologies with suitable capabilities. In this paper, two technical tasks were tackled to develop the prototype of this assistance tool: Extraction of advantage phrases and scoring for the advantage phrases to find novel applications in the target technology field. We describe a new method to identify advantage phrases in technical documents and our scoring function that gives higher scores to novel applications of the technology. The results of evaluations showed our phrase identification method with only a few phrasal patterns performs almost as well as human annotators, and the proposed scoring conforms better to the decisions made by professionals than random sort.