DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, B. | - |
dc.contributor.author | Ryu, S. | - |
dc.contributor.author | Lee, G.G. | - |
dc.date.accessioned | 2018-07-17T10:45:55Z | - |
dc.date.available | 2018-07-17T10:45:55Z | - |
dc.date.created | 2017-12-21 | - |
dc.date.issued | 2017-05 | - |
dc.identifier.issn | 1380-7501 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/92105 | - |
dc.description.abstract | This paper presents a system to detect multiple intents (MIs) in an input sentence when only single-intent (SI)-labeled training data are available. To solve the problem, this paper categorizes input sentences into three types and uses a two-stage approach in which each stage attempts to detect MIs in different types of sentences. In the first stage, the system generates MI hypotheses based on conjunctions in the input sentence, then evaluates the hypotheses and then selects the best one that satisfies specified conditions. In the second stage, the system applies sequence labeling to mark intents on the input sentence. The sequence labeling model is trained based on SI-labeled training data. In experiments, the proposed two-stage MI detection method reduced errors for written and spoken input by 20.54 and 17.34?% respectively. ? 2016, Springer Science+Business Media New York. | - |
dc.language | English | - |
dc.publisher | SPRINGER | - |
dc.relation.isPartOf | MULTIMEDIA TOOLS AND APPLICATIONS | - |
dc.subject | Computational linguistics | - |
dc.subject | Detection methods | - |
dc.subject | Intent detection | - |
dc.subject | Labeled training data | - |
dc.subject | Sequence Labeling | - |
dc.subject | Spoken dialog systems | - |
dc.subject | Spoken language understanding | - |
dc.subject | Two stage approach | - |
dc.subject | Speech recognition | - |
dc.title | Two-stage multi-intent detection for spoken language understanding | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s11042-016-3724-4 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | MULTIMEDIA TOOLS AND APPLICATIONS, v.76, no.9, pp.11377 - 11390 | - |
dc.identifier.wosid | 000400845000015 | - |
dc.citation.endPage | 11390 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 11377 | - |
dc.citation.title | MULTIMEDIA TOOLS AND APPLICATIONS | - |
dc.citation.volume | 76 | - |
dc.contributor.affiliatedAuthor | Ryu, S. | - |
dc.contributor.affiliatedAuthor | Lee, G.G. | - |
dc.identifier.scopusid | 2-s2.0-84978112111 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | DIALOG MANAGEMENT | - |
dc.subject.keywordAuthor | Spoken dialog system | - |
dc.subject.keywordAuthor | Spoken language understanding | - |
dc.subject.keywordAuthor | Multi-intent detection | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
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