{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T06:20:01Z","timestamp":1648534801296},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,14]]},"abstract":"<jats:p>In this study, we will examine how the speech sounds generated by one-to-one or one-to-n human communication are not only simple exchanges of intentions and opinions, but are also clearly divided into linguistic expression and linguistic understanding. In this course, we will discuss the problems of interaction between interlocutors and the complex interplay of phenomena that occur in individual interlocutors. We propose a method to determine the semantic frame of a dialogue contextually by integrating and calculating the features of speech and the features of the meaning of words.<\/jats:p>","DOI":"10.3233\/faia210478","type":"book-chapter","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:42:00Z","timestamp":1642434120000},"source":"Crossref","is-referenced-by-count":0,"title":["A Proposal for a Method of Determining Contextual Semantic Frames by Understanding the Mutual Objectives and Situations Between Speech Recognition and Interlocutors"],"prefix":"10.3233","author":[{"given":"Ryosuke","family":"Konishi","sequence":"first","affiliation":[{"name":"Generic Solution Corporation, Nampeidai-chou, Shibuya-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fumito","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Generic Solution Corporation, Nampeidai-chou, Shibuya-ku, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasushi","family":"Kiyoki","sequence":"additional","affiliation":[{"name":"Faculty of Environmental Information, KEIO University, Fujisawa, Kanagawa 252, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXIII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210478","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:42:01Z","timestamp":1642434121000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210478"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210478","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,14]]}}}