Funder
Beijing Natural Science Foundation
National Natural Science Foundation of China
Reference39 articles.
1. Bai, L., Guan, S., Guo, J., Li, Z., Jin, X., & Cheng, X. (2021). Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. In Proceedings of the 2021 conference on empirical methods in natural language processing (pp. 9869–9878).
2. Bai, L., Guan, S., Li, Z., Guo, J., Jin, X., & Cheng, X. (2023). Rich event modeling for script event prediction. In Proceedings of the AAAI conference on artificial intelligence, vol. 37, no. 11 (pp. 12553–12561).
3. Balasubramanian, N., Soderland, S., Etzioni, O., et al. (2013). Generating coherent event schemas at scale. In Proceedings of the 2013 conference on empirical methods in natural language processing (pp. 1721–1731).
4. Chambers, N., & Jurafsky, D. (2008). Unsupervised learning of narrative event chains. In Proceedings of ACL-08: HLT (pp. 789–797).
5. Chaturvedi, S., Peng, H., & Roth, D. (2017). Story comprehension for predicting what happens next. In Proceedings of the 2017 conference on empirical methods in natural language processing (pp. 1603–1614).