DC Field | Value | Language |
---|---|---|
dc.contributor.author | Minwoo Jeong | - |
dc.contributor.author | Lee, GG | - |
dc.date.accessioned | 2016-04-01T08:20:13Z | - |
dc.date.available | 2016-04-01T08:20:13Z | - |
dc.date.created | 2014-02-10 | - |
dc.date.issued | 2009-05 | - |
dc.identifier.issn | 0167-6393 | - |
dc.identifier.other | 2009-OAK-0000019494 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/27747 | - |
dc.description.abstract | This paper addresses the problem of multi-domain spoken language understanding (SLU) where domain detection and domain-dependent semantic tagging problems are combined. We present a transfer learning approach to the multi-domain SLU problem in which multiple domain-specific data sources can be incorporated. To implement multi-domain SLU with transfer learning, we introduce a triangular-chain structured model. This model effectively learns multiple domains in parallel, and allows use of domain-independent patterns among domains to create a better model for the target domain. We demonstrate that the proposed method outperforms baseline models on dialog data for multi-domain SLU problems. (C) 2009 Elsevier B.V. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | SPEECH COMMUNICATION | - |
dc.subject | Spoken language understanding | - |
dc.subject | Multi-domain dialog system | - |
dc.subject | Transfer learning | - |
dc.subject | Triangular-chain structure model | - |
dc.subject | SEMANTIC ROLES | - |
dc.subject | DIALOGUE | - |
dc.subject | SYSTEM | - |
dc.title | MULTI-DOMAIN SPOKEN LANGUAGE UNDERSTANDING WITH TRANSFER LEARNING | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1016/J.SPECOM.2009.01.001 | - |
dc.author.google | Jeong, M | - |
dc.author.google | Lee, GG | - |
dc.relation.volume | 51 | - |
dc.relation.issue | 5 | - |
dc.relation.startpage | 412 | - |
dc.relation.lastpage | 424 | - |
dc.contributor.id | 10103841 | - |
dc.relation.journal | SPEECH COMMUNICATION | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | SPEECH COMMUNICATION, v.51, no.5, pp.412 - 424 | - |
dc.identifier.wosid | 000264942600002 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 424 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 412 | - |
dc.citation.title | SPEECH COMMUNICATION | - |
dc.citation.volume | 51 | - |
dc.contributor.affiliatedAuthor | Lee, GG | - |
dc.identifier.scopusid | 2-s2.0-61749090403 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 10 | - |
dc.description.scptc | 13 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Spoken language understanding | - |
dc.subject.keywordAuthor | Multi-domain dialog system | - |
dc.subject.keywordAuthor | Transfer learning | - |
dc.subject.keywordAuthor | Triangular-chain structure model | - |
dc.relation.journalWebOfScienceCategory | Acoustics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Acoustics | - |
dc.relation.journalResearchArea | Computer Science | - |
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