An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition - ACL Anthology

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An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition

Wencan Luo, Fan Yang

Anthology ID:: N16-1028
Volume:: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:: June
Year:: 2016
Address:: San Diego, California
Editors:: Kevin Knight, Ani Nenkova, Owen Rambow
Venue:: NAACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 238–248
Language:
URL:: https://preview.aclanthology.org/build-pipeline-with-new-library/N16-1028/
DOI:: 10.18653/v1/N16-1028
Bibkey:
Cite (ACL):: Wencan Luo and Fan Yang. 2016. An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 238–248, San Diego, California. Association for Computational Linguistics.
Cite (Informal):: An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition (Luo & Yang, NAACL 2016)
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PDF:: https://preview.aclanthology.org/build-pipeline-with-new-library/N16-1028.pdf

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