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Computer Science > Computation and Language

arXiv:2009.05781 (cs)
[Submitted on 12 Sep 2020 (v1), last revised 12 Dec 2020 (this version, v2)]

Title:Intent Detection with WikiHow

Authors:Li Zhang, Qing Lyu, Chris Callison-Burch
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Abstract:Modern task-oriented dialog systems need to reliably understand users' intents. Intent detection is most challenging when moving to new domains or new languages, since there is little annotated data. To address this challenge, we present a suite of pretrained intent detection models. Our models are able to predict a broad range of intended goals from many actions because they are trained on wikiHow, a comprehensive instructional website. Our models achieve state-of-the-art results on the Snips dataset, the Schema-Guided Dialogue dataset, and all 3 languages of the Facebook multilingual dialog datasets. Our models also demonstrate strong zero- and few-shot performance, reaching over 75% accuracy using only 100 training examples in all datasets.
Comments: In AACL-IJCNLP 2020
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2009.05781 [cs.CL]
  (or arXiv:2009.05781v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2009.05781
arXiv-issued DOI via DataCite
Journal reference: Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (2020) 328-333

Submission history

From: Li Zhang [view email]
[v1] Sat, 12 Sep 2020 12:53:47 UTC (34 KB)
[v2] Sat, 12 Dec 2020 15:46:03 UTC (42 KB)
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