A Document-Level Relation Extraction Framework with Dynamic Pruning

Author:

Zhang Hanyue,Li Li,Shen Jun

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Bunescu, R.C., Mooney, R.J.: A shortest path dependency kernel for relation extraction. In: HLT/EMNLP 2005, 6–8 October 2005, Vancouver, British Columbia, Canada, pp. 724–731. The Association for Computational Linguistics (2005)

2. Cai, R., Zhang, X., Wang, H.: Bidirectional recurrent convolutional neural network for relation classification. In: ACL 2016, 7–12 August 2016, Berlin, Germany, Volume 1: Long Papers (2016)

3. Christopoulou, F., Miwa, M., Ananiadou, S.: Connecting the dots: document-level neural relation extraction with edge-oriented graphs. In: EMNLP-IJCNLP 2019, Hong Kong, China, 3–7 November 2019, pp. 4924–4935 (2019)

4. Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: NAACL-HLT 2019, Minneapolis, MN, USA, 2–7 June 2019, Volume 1 (Long and Short Papers), pp. 4171–4186 (2019)

5. Jia, R., Wong, C., Poon, H.: Document-level N-ary relation extraction with multiscale representation learning. In: Burstein, J., Doran, C., Solorio, T. (eds.) NAACL-HLT 2019, Minneapolis, MN, USA, 2–7 June 2019, Volume 1 (Long and Short Papers), pp. 3693–3704 (2019)

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