대화시스템 미지원 도메인 검출에 관한 조사Survey on Out-Of-Domain Detection for Dialog Systems
- Other Titles
- Survey on Out-Of-Domain Detection for Dialog Systems
- Authors
- 정영섭; 김영민
- Issue Date
- 2019
- Publisher
- 중소기업융합학회
- Keywords
- Dialog system; User utterance; Out-of-domain detection; Natural language understanding; Text classification; 대화시스템; 사용자 발화; 미지원도메인 검출; 자연어 이해; 텍스트 분류
- Citation
- 융합정보논문지, v.9, no.9, pp.1 - 12
- Journal Title
- 융합정보논문지
- Volume
- 9
- Number
- 9
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5016
- DOI
- 10.22156/CS4SMB.2019.9.9.001
- Abstract
- A dialog system becomes a new way of communication between human and computer. The dialog system takes human voice as an input, and gives a proper response in voice or perform an action. Although there are several well-known products of dialog system (e.g., Amazon Echo, Naver Wave), they commonly suffer from a problem of out-of-domain utterances. If it poorly detects out-of-domain utterances, then it will significantly harm the user satisfactory. There have been some studies aimed at solving this problem, but it is still necessary to study about this intensively. In this paper, we give an overview of the previous studies of out-of-domain detection in terms of three point of view: dataset, feature, and method. As there were relatively smaller studies of this topic due to the lack of datasets, we believe that the most important next research step is to construct and share a large dataset for dialog system, and thereafter try state-of-the-art techniques upon the dataset.
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