Biomedical event causal relation extraction based on a knowledge-guided hierarchical graph network

Author:

Zhang Beibei,Li Lishuang,Song Dingxin,Zhao Yang

Funder

National Natural Science Foundation of China

Science and Technology Innovation Foundation of Dalian

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference48 articles.

1. Akkasi A, Moens M-F (2021) Causal relationship extraction from biomedical text using deep neural models: a comprehensive survey. J Biomed Inform 119:103820. https://doi.org/10.1016/j.jbi.2021.103820

2. Amos L, Anderson D, Brody S, Ripple A, Humphreys BL (2020) UMLS users and uses: a current overview. J Am Med Inf Assoc 27(10):1606–1611. https://doi.org/10.1093/jamia/ocaa084

3. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G (2000) Gene ontology: tool for the unification of biology. Nat Genet 25(1):25–29. https://doi.org/10.1038/75556

4. Bordes A, Usunier N, Garcıa-Duran A, Weston J, Yakhnenko O (2013) Translating embeddings for modeling multi-relational data. In: Burges CJC, Bottou L, Ghahramani Z, Weinberger KQ, (eds) advances in neural information processing systems 26: 27th annual conference on neural information processing systems 2013. proceedings of a meeting held December 5–8, 2013, Lake Tahoe, Nevada, United States, pp. 2787–2795, NeurIPS . https://proceedings.neurips.cc/paper/2013/file/1cecc7a77928ca8133fa24680a88d2f9-Paper.pdf

5. Caselli T, Vossen P (2017) The event storyline corpus: A new benchmark for causal and temporal relation extraction. In: Caselli T, Miller B, van Erp M, Vossen P, Palmer M, Hovy EH, Mitamura T, Caswell D, (eds) proceedings of the events and stories in the news workshop@ACL 2017, Vancouver, Canada, August 4, 2017, pp. 77–86. ACL. https://aclanthology.org/W17-2711

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