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Label Enhanced Event Detection with Heterogeneous Graph Attention Networks., , , , , и . CoRR, (2020)A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task., , , , , , , , и . Data Intell., 3 (3): 444-459 (2021)NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction., , , и . ECML/PKDD (3), том 12977 из Lecture Notes in Computer Science, стр. 580-595. Springer, (2021)Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings., , , , , и . WWW, стр. 1683-1692. ACM, (2023)FITAnnotator: A Flexible and Intelligent Text Annotation System., , , и . NAACL-HLT (Demonstrations), стр. 35-41. Association for Computational Linguistics, (2021)Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration., , , , , , , , и . ACM Multimedia, стр. 7252-7260. ACM, (2022)Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy., , , , , , и . ECAI, том 325 из Frontiers in Artificial Intelligence and Applications, стр. 2282-2289. IOS Press, (2020)Self-Checkpoint: An In-Memory Checkpoint Method Using Less Space and Its Practice on Fault-Tolerant HPL., , , , и . PPoPP, стр. 401-413. ACM, (2017)A Survey on Neural Open Information Extraction: Current Status and Future Directions., , , , , и . IJCAI, стр. 5694-5701. ijcai.org, (2022)From What to Why: Improving Relation Extraction with Rationale Graph., , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 86-95. Association for Computational Linguistics, (2021)