계층적 디리클레 프로세스를 활용한미지원 도메인 검출Out-Of-Domain Detection Using Hierarchical Dirichlet Process
- Other Titles
- Out-Of-Domain Detection Using Hierarchical Dirichlet Process
- Authors
- 정영섭
- Issue Date
- 2018
- Publisher
- 한국컴퓨터정보학회
- Keywords
- Out-of-domain detection; Dialog system; Topic modeling; Hierarchical Dirichlet process
- Citation
- 한국컴퓨터정보학회논문지, v.23, no.1, pp.17 - 24
- Journal Title
- 한국컴퓨터정보학회논문지
- Volume
- 23
- Number
- 1
- Start Page
- 17
- End Page
- 24
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/6797
- DOI
- 10.9708/jksci.2018.23.01.017
- ISSN
- 1598-849X
- Abstract
- With improvement of speech recognition and natural language processing, dialog systems are recently adapted to various service domains. It became possible to get desirable services by conversation through the dialog system, but it is still necessary to improve separate modules, such as domain detection, intention detection, named entity recognition, and out-of-domain detection, in order to achieve stable service offer. When it misclassifies an in-domain sentence of conversation as out-of-domain, it will result in poor customer satisfaction and finally lost business. As there have been relatively small number of studies related to the out-of-domain detection, in this paper, we introduce a new method using a hierarchical Dirichlet process and demonstrate the effectiveness of it by experimental results on Korean dataset.
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