| Presentation | 2018-09-14 A Study on Interaction Analysis Using Japanese Learner's Conversation Data and the Tendency of Dialogue Breaking Hiromitsu Ota, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, the introduction of chat bots to call centers and the like has become popular, more accurate, dialogue response with less breakdown is required. On the other hand, in the field of natural language processing using deep learning, expression learning such as word 2 vec spreads, the responses and utterances between utterances are emphasized and challenged. Therefore, we examined application of qualitative mutual action framework in sociology's ethnomethodology and conversation analysis. We examined effectiveness by using the Japanese language learner conversation data of the National Institute of Japanese Language and examined the characteristics of dialog crash and the applicability of automatic dialogue generation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | chatbot / Seq2Seq / word2vec / automatic dialogue generation / Ethnomethodology / conversation analysis / Dialogue collapse / Dialogue response |
| Paper # | DE2018-9 |
| Date of Issue | 2018-09-05 (DE) |
| Conference Information | |
| Committee | DE / IPSJ-DBS / IPSJ-IFAT |
|---|---|
| Conference Date | 2018/9/12(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akiyo Nadamoto(Konan Univ.) |
| Vice Chair | Jun Miyazaki(Tokyo Inst. of Tech.) / Shingo Otsuka(Kanagawa Inst. of Tech.) |
| Secretary | Jun Miyazaki(Univ. of Hyogo) / Shingo Otsuka(Univ. of Marketing and Distrbution Science) |
| Assistant | Kazuo Goda(Univ. of Tokyo) / Hiroaki Shiokawa(Tsukuba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Data Engineering / Special Interest Group on Database System / Special Interest Group on Information Fundamentals and Access Technologies |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Interaction Analysis Using Japanese Learner's Conversation Data and the Tendency of Dialogue Breaking |
| Sub Title (in English) | |
| Keyword(1) | chatbot |
| Keyword(2) | Seq2Seq |
| Keyword(3) | word2vec |
| Keyword(4) | automatic dialogue generation |
| Keyword(5) | Ethnomethodology |
| Keyword(6) | conversation analysis |
| Keyword(7) | Dialogue collapse |
| Keyword(8) | Dialogue response |
| 1st Author's Name | Hiromitsu Ota |
| 1st Author's Affiliation | The Open University of Japan(OUJ) |
| Date | 2018-09-14 |
| Paper # | DE2018-9 |
| Volume (vol) | vol.118 |
| Number (no) | DE-213 |
| Page | pp.pp.1-6(DE), |
| #Pages | 6 |
| Date of Issue | 2018-09-05 (DE) |