SCTB-V2: the 2nd version of the Chinese treebank in the scientific domain

Author:

Chu ChenhuiORCID,Mao Zhuoyuan,Nakazawa Toshiaki,Kawahara Daisuke,Kurohashi Sadao

Funder

Japan Science and Technology Agency

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Reference27 articles.

1. Che, W., Li, Z., & Liu, T. (2012). Chinese dependency treebank 1.0. Linguistic Data Consortium

2. Chen, H., Huang, S., Chiang, D., & Chen, J. (2017). Improved neural machine translation with a syntax-aware encoder and decoder. In Proceedings of the 55th annual meeting of the Association for Computational Linguistics (Vol. 1: Long Papers, pp. 1936–1945). Association for Computational Linguistics. http://aclweb.org/anthology/P17-1177

3. Chu, C., Nakazawa, T., Kawahara, D., & Kurohashi, S. (2016). SCTB: A Chinese treebank in scientific domain. In Proceedings of the 12th workshop on Asian Language Resources (ALR12) (pp. 59–67). The COLING 2016 Organizing Committee. https://aclanthology.org/W16-5407

4. Duan, H., Bai, X., Chang, B., & Yu, S. (2003). Chinese word segmentation at Peking University. In Proceedings of the second SIGHAN workshop on Chinese Language Processing (pp. 152–155). Association for Computational Linguistics. https://doi.org/10.3115/1119250.1119272. http://www.aclweb.org/anthology/W03-1722

5. Goto, I., Chow, K. P., Lu, B., Sumita, E., & Tsou, B. K. (2013). Overview of the patent machine translation task at the NTCIR-10 workshop. In Proceedings of the 10th NTCIR conference (pp. 260–286). National Institute of Informatics (NII). http://dblp.uni-trier.de/db/conf/ntcir/ntcir2013.html#GotoCLST13

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