2019
DOI: 10.1007/978-3-030-32236-6_12
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A Knowledge-Gated Mechanism for Utterance Domain Classification

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Cited by 4 publications
(6 citation statements)
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“…In detail, we follow the previous work [14,15], obtaining external knowledge (i.e. entity types [16], a set of words which are semantic categories to which entities belong) in utterances from CN-Probase [17], which is a large-scale Chinese taxonomy for entity types retrieval.…”
Section: The Proposed Approachmentioning
confidence: 99%
See 4 more Smart Citations
“…In detail, we follow the previous work [14,15], obtaining external knowledge (i.e. entity types [16], a set of words which are semantic categories to which entities belong) in utterances from CN-Probase [17], which is a large-scale Chinese taxonomy for entity types retrieval.…”
Section: The Proposed Approachmentioning
confidence: 99%
“…entity types [16], a set of words which are semantic categories to which entities belong) in utterances from CN-Probase [17], which is a large-scale Chinese taxonomy for entity types retrieval. Besides, for some missing entities in KBs, we follow previous work [14,15], adopting some other reliable sources (e.g. Baidu Baike, QQ music) as supplement to improve the coverage of external knowledge.…”
Section: The Proposed Approachmentioning
confidence: 99%
See 3 more Smart Citations