Combining Biaffine Model and Constraints Inference for Chinese Clinical Temporal Relation Extraction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9864-7_12
Reference27 articles.
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2. Han, R., Zhou, Y., Peng, N.: Domain knowledge empowered structured neural net for end-to-end event temporal relation extraction. arXiv preprint arXiv:2009.07373 (2020)
3. Zhou, Y., et al.: Clinical temporal relation extraction with probabilistic soft logic regularization and global inference. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 14647–14655 (2021)
4. Saurí, R., Littman, J., Knippen, B., Gaizauskas, R., Setzer, A., Pustejovsky, J.: TimeML annotation guidelines. Version 1(1), 31 (2006)
5. Sun, W., Rumshisky, A., Uzuner, O.: Evaluating temporal relations in clinical text: 2012 I2B2 challenge. J. Am. Med. Inform. Assoc. 20(5), 806–813 (2013)
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