Exploiting out-of-vocabulary words for out-of-domain detection in dialog systems

Multi-domain dialog systems often encounter user requests for out-of-domain (OOD) service. This paper focuses on detecting these requests. The proposed OOD detection method is included in a multi-domain detection component naturally. This component consists of multiple in-domain verifiers: an in-dom...

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Bibliographic Details
Main Authors: Seonghan Ryu, Donghyeon Lee, Lee, Gary Geunbae, Kyungduk Kim, Hyungjong Noh
Format: Conference Proceeding
Language:English
Subjects:
Animation
binary classification
DH-HEMTs
Dictionaries
multi-domain detection
Reliability
Training data
Vocabulary
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Description
Summary:Multi-domain dialog systems often encounter user requests for out-of-domain (OOD) service. This paper focuses on detecting these requests. The proposed OOD detection method is included in a multi-domain detection component naturally. This component consists of multiple in-domain verifiers: an in-domain verifier accepts a user utterance when it belongs to the domain and rejects the utterance otherwise. To detect OOD requests without using an actual OOD corpus, the in-domain verifiers exploit the occurrence of out-of-vocabulary words. In experiments, the proposed OOD detection method was more accurate than three baseline methods.
ISSN:2375-933X
2375-9356
DOI:10.1109/BIGCOMP.2014.6741429