Presentation 2018-03-03
The Method of Measuring the Degree of Association between Concepts using Concept-base and Word2Vec
Takuya Sera, Seiji Tsuchiya, Hirokazu Watanabe,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to make communication between computer and human more natural, computer needs to retain knowledge of the human language. In addition, in order to associate words with words, it is necessary to quantify the proximity of words. Concept-Base is a knowledge base that gathered such knowledge in specific forms. Moreover, there is The Measuring Method of the Degree of Association that uses a Concept-Base to quantify proximity of words. In this paper, we build Concept-Base with Wikipedia as the information source, and Vector space model using Word2Vec. Then, we propose The Measuring Method of Degree of Association considering similarity using the Concept-Base and Vector space model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Knowledge-base / Word2Vec / NLP
Paper # AI2017-50
Date of Issue 2018-02-23 (AI)

Conference Information
Committee AI / JSAI-KBS / JSAI-DOCMAS / JSAI-SAI / IPSJ-ICS
Conference Date 2018/3/1(4days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Social System and Information Technology
Chair Tsunenori Mine(Kyushu Univ.)
Vice Chair Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.)
Secretary Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.)
Assistant Yuko Sakurai(AIST)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing / Special Interest Group on Knowledge-Based Systems / Special Interest Group on Data Oriented Constructive Mining and Simulation / Special Interest Group on Society and Artificial Intelligence / Special Interest Group on Intelligence and Complex Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Method of Measuring the Degree of Association between Concepts using Concept-base and Word2Vec
Sub Title (in English)
Keyword(1) Knowledge-base
Keyword(2) Word2Vec
Keyword(3) NLP
1st Author's Name Takuya Sera
1st Author's Affiliation Doshisya Univ.(Doshisya)
2nd Author's Name Seiji Tsuchiya
2nd Author's Affiliation Doshisya Univ.(Doshisya)
3rd Author's Name Hirokazu Watanabe
3rd Author's Affiliation Doshisya Univ.(Doshisya)
Date 2018-03-03
Paper # AI2017-50
Volume (vol) vol.117
Number (no) AI-468
Page pp.pp.43-48(AI),
#Pages 6
Date of Issue 2018-02-23 (AI)