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Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks.

, , , , , , and . ACL/IJCNLP (1), page 4862-4872. Association for Computational Linguistics, (2021)

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LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification., , , , , , and . ACL/IJCNLP (1), page 3558-3571. Association for Computational Linguistics, (2021)Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks., , , , , , and . ACL/IJCNLP (1), page 4862-4872. Association for Computational Linguistics, (2021)Multi-input Deep Learning Model for RP Diagnosis Using FVEP and Prior Knowledge., , , , , , and . ICIC (LNBI 1), volume 14881 of Lecture Notes in Computer Science, page 287-299. Springer, (2024)Predicting Ly$\alpha$ Emission from Galaxies via Empirical Markers of Production and Escape in the KBSS, , , , , and . (2019)cite arxiv:1908.04794Comment: 23 pages, 9 figures, submitted to ApJ.Event Extraction as Multi-turn Question Answering., , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 829-838. Association for Computational Linguistics, (2020)Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches., , , , and . IEEE Trans. Intell. Transp. Syst., 23 (10): 17119-17129 (2022)Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement., , , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 2162-2172. Association for Computational Linguistics, (2021)Searching for the connection between ionizing-photon escape and the surface density of star formation at z~3, , , , and . (2022)cite arxiv:2202.00016Comment: 13 pages, 5 figures, submitted to MNRAS.Balancing of Bike-Sharing System via Constrained Model Predictive Control., , , , and . NCAA, volume 1265 of Communications in Computer and Information Science, page 502-512. Springer, (2020)DuEE: A Large-Scale Dataset for Chinese Event Extraction in Real-World Scenarios., , , , , , , and . NLPCC (2), volume 12431 of Lecture Notes in Computer Science, page 534-545. Springer, (2020)