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%0 Conference Proceedings
%T An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
%A Luo, Wencan
%A Yang, Fan
%Y Knight, Kevin
%Y Nenkova, Ani
%Y Rambow, Owen
%S Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
%D 2016
%8 June
%I Association for Computational Linguistics
%C San Diego, California
%F luo-yang-2016-empirical
%R 10.18653/v1/N16-1028
%U https://aclanthology.org/N16-1028
%U https://doi.org/10.18653/v1/N16-1028
%P 238-248

Markdown (Informal)

[An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition](https://aclanthology.org/N16-1028) (Luo & Yang, NAACL 2016)

• An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition (Luo & Yang, NAACL 2016)

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.