DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, M | - |
dc.contributor.author | Lee, GG | - |
dc.date.accessioned | 2016-04-01T01:18:59Z | - |
dc.date.available | 2016-04-01T01:18:59Z | - |
dc.date.created | 2009-08-21 | - |
dc.date.issued | 2008-05 | - |
dc.identifier.issn | 0916-8532 | - |
dc.identifier.other | 2008-OAK-0000007862 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/22701 | - |
dc.description.abstract | Spoken language understanding (SLU) aims to map a user's speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between entities in a cascaded manner. On air travel data, we show that our approach improves performance over baseline models. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION CO | - |
dc.relation.isPartOf | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (postech rank 2) | - |
dc.subject | spoken language understanding | - |
dc.subject | named entity recognition from speech | - |
dc.subject | structured prediction | - |
dc.subject | long-distance dependency | - |
dc.subject | two-step cascaded approach | - |
dc.title | On the use of structures for spoken language understanding: A two-step approach | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1093/ietisy/e91-d.5.1552 | - |
dc.author.google | Jeong, M | - |
dc.author.google | Lee, GG | - |
dc.relation.volume | E91D | - |
dc.relation.issue | 5 | - |
dc.relation.startpage | 1552 | - |
dc.relation.lastpage | 1561 | - |
dc.contributor.id | 10103841 | - |
dc.relation.journal | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (postech rank 2) | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (postech rank 2), v.E91D, no.5, pp.1552 - 1561 | - |
dc.identifier.wosid | 000256860900038 | - |
dc.date.tcdate | 2018-03-23 | - |
dc.citation.endPage | 1561 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 1552 | - |
dc.citation.title | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (postech rank 2) | - |
dc.citation.volume | E91D | - |
dc.contributor.affiliatedAuthor | Lee, GG | - |
dc.identifier.scopusid | 2-s2.0-68149098487 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | spoken language understanding | - |
dc.subject.keywordAuthor | named entity recognition from speech | - |
dc.subject.keywordAuthor | structured prediction | - |
dc.subject.keywordAuthor | long-distance dependency | - |
dc.subject.keywordAuthor | two-step cascaded approach | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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