@inproceedings{zhou-etal-2017-word,
title = "Word-Context Character Embeddings for {C}hinese Word Segmentation",
author = "Zhou, Hao and
Yu, Zhenting and
Zhang, Yue and
Huang, Shujian and
Dai, Xinyu and
Chen, Jiajun",
editor = "Palmer, Martha and
Hwa, Rebecca and
Riedel, Sebastian",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-1079",
doi = "10.18653/v1/D17-1079",
pages = "760--766",
abstract = "Neural parsers have benefited from automatically labeled data via dependency-context word embeddings. We investigate training character embeddings on a word-based context in a similar way, showing that the simple method improves state-of-the-art neural word segmentation models significantly, beating tri-training baselines for leveraging auto-segmented data.",
}
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%0 Conference Proceedings
%T Word-Context Character Embeddings for Chinese Word Segmentation
%A Zhou, Hao
%A Yu, Zhenting
%A Zhang, Yue
%A Huang, Shujian
%A Dai, Xinyu
%A Chen, Jiajun
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F zhou-etal-2017-word
%X Neural parsers have benefited from automatically labeled data via dependency-context word embeddings. We investigate training character embeddings on a word-based context in a similar way, showing that the simple method improves state-of-the-art neural word segmentation models significantly, beating tri-training baselines for leveraging auto-segmented data.
%R 10.18653/v1/D17-1079
%U https://aclanthology.org/D17-1079
%U https://doi.org/10.18653/v1/D17-1079
%P 760-766
Markdown (Informal)
[Word-Context Character Embeddings for Chinese Word Segmentation](https://aclanthology.org/D17-1079) (Zhou et al., EMNLP 2017)
ACL
- Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xinyu Dai, and Jiajun Chen. 2017. Word-Context Character Embeddings for Chinese Word Segmentation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 760–766, Copenhagen, Denmark. Association for Computational Linguistics.