Improving completeness and consistency of co-reference annotation standard-Reference-Cited by-同舟云学术

Improving completeness and consistency of co-reference annotation standard

Published:2022-08-09 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Xu Yang^ORCID,Farha Fadi^ORCID,Wan Yueliang,Xu Jiabo,Liu Hong^ORCID,Ning Huansheng^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-022-03077-8.pdf

Reference23 articles.

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2. Barhom, S., Shwartz, V., Eirew, A., Bugert, M., Reimers, N., & Dagan, I. (2019). Revisiting joint modeling of cross-document entity and event coreference resolution. In Proceedings of the 57th annual meeting of the association for computational linguistics (pp. 4179–4189). Presented at the ACL 2019, Florence, Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1409

3. Soon, W. M., Ng, H. T., & Lim, D. C. Y. (2001). A machine learning approach to coreference resolution of noun phrases. Computational linguistics, 27(4), 521–544. https://doi.org/10.1162/089120101753342653

4. Moosavi, N. S., & Strube, M. (2017). Lexical features in coreference resolution: To be used with caution. In Proceedings of the 55th annual meeting of the association for computational linguistics (Volume 2: Short Papers) (Vol. 2, pp. 14–19). Presented at the ACL 2017, Vancouver, Canada: Association for computational linguistics. https://doi.org/10.18653/v1/P17-2003

5. Xu, Y., Xia, B., Wan, Y., Zhang, F., Xu, J., & Ning, H. (2021). CDCAT: A multi-language cross-document entity and event coreference annotation tool. Tsinghua Science and Technology, 27(3), 589–598. https://doi.org/10.26599/TST.2020.9010060