{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:09:35Z","timestamp":1777702175703,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"1-2","license":[{"start":{"date-parts":[[2010,2,1]],"date-time":"2010-02-01T00:00:00Z","timestamp":1264982400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2010,2]]},"abstract":"<jats:p>This paper proposes one of a response production method on chatting system automatically. Our approach is applied to Japanese language. This is not necessary that it achieve a task. The responses support our conversation flow and let us produce a new topic. The system will get much information for the speaker by performing much conversation with this system. Based on the much information by a conversation with the system, the flexible reply for a speaker will come to be possible. In the present paper, we propose a response by association of the input sentence. For example, we associate \u201cmedical treatment\u201d with \u201chospital\u201d. We reply then using the association word. If, like humans, a machine can reply using the association word, it will return various flexible responses.<\/jats:p>","DOI":"10.3233\/ifs-2010-0434","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T17:40:26Z","timestamp":1575308426000},"page":"49-55","source":"Crossref","is-referenced-by-count":0,"title":["Association response by understanding commonsense in conversation system"],"prefix":"10.1177","volume":"21","author":[{"given":"E.","family":"Yoshimura","sequence":"first","affiliation":[{"name":"Department of Knowledge Engineering &amp; Computer Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Tsuchiya","sequence":"additional","affiliation":[{"name":"Department of Knowledge Engineering &amp; Computer Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H.","family":"Watabe","sequence":"additional","affiliation":[{"name":"Department of Knowledge Engineering &amp; Computer Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Kawaoka","sequence":"additional","affiliation":[{"name":"Department of Knowledge Engineering &amp; Computer Sciences, Doshisha University, Kyo-Tanabe, Kyoto, 610-0394, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2010,2]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-2010-0434","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-2010-0434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:35:06Z","timestamp":1777455306000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-2010-0434"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,2]]},"references-count":0,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2010,2]]}},"alternative-id":["10.3233\/IFS-2010-0434"],"URL":"https:\/\/doi.org\/10.3233\/ifs-2010-0434","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,2]]}}}