Entity-Aware Biaffine Attention for Constituent Parsing-Reference-Cited by-同舟云学术

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Entity-Aware Biaffine Attention for Constituent Parsing

Published:2021 Issue: Volume: Page:191-203
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bai Xinyi,Yin Nan,Zhang Xiang,Wang Xin,Luo Zhigang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86362-3_16

Reference24 articles.

1. Bowman, S.R., Gauthier, J., Rastogi, A., Gupta, R., Manning, C.D., Potts, C.: A fast unified model for parsing and sentence understanding. In: Proceedings of the ACL Conference (2016)

2. Chen, Q., Zhu, X., Ling, Z., Wei, S., Jiang, H., Inkpen, D.: Enhanced LSTM for natural language inference. In: Proceedings of the ACL Conference (2017)

3. Cheng, J., Lopez, A., Lapata, M.: A generative parser with a discriminative recognition algorithm. In: Proceedings of the ACL Conference (2017)

4. Collins, M.: Three generative, lexicalised models for statistical parsing. In: Proceedings of the ACL Conference (1997)

5. Finkel, J.R., Manning, C.D.: Joint parsing and named entity recognition. In: Proceedings of the ACL Conference, pp. 326–334 (2009)

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1. Dynamic Hypergraph Convolutional Network;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

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