Multilingual semantic parsing and code-switching

Long Duong, Hadi Afshar, Dominique Estival, Glen Pink, Philip Cohen, Mark Johnson

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

32 Citations (Scopus)
26 Downloads (Pure)


Extending semantic parsing systems to new domains and languages is a highly expensive, time-consuming process, so making effective use of existing resources is critical. In this paper, we describe a transfer learning method using crosslingual word embeddings in a sequence-to-sequence model. On the NLmaps corpus, our approach achieves state-of-the-art accuracy of 85.7% for English. Most importantly, we observed a consistent improvement for German compared with several baseline domain adaptation techniques. As a by-product of this approach, our models that are trained on a combination of English and German utterances perform reasonably well on code-switching utterances which contain a mixture of English and German, even though the training data does not contain any such. As far as we know, this is the first study of code-switching in semantic parsing. We manually constructed the set of code-switching test utterances for the NLmaps corpus and achieve 78.3% accuracy on this dataset.
Original languageEnglish
Title of host publicationProceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)
Place of PublicationStroudsburg, PA
PublisherAssociation for Computational Linguistics
Number of pages11
ISBN (Electronic)9781945626548
Publication statusPublished - 2017
Externally publishedYes
EventConference on Computational Natural Language Learning (21st : 2017) - Vancouver, Canada
Duration: 3 Aug 20174 Aug 2017


ConferenceConference on Computational Natural Language Learning (21st : 2017)
Abbreviated titleCoNLL 2017

Bibliographical note

Copyright the Publisher 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


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