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Document-level Relation Triplet Extraction (DocRTE) is a fundamental task in information systems that aims to simultaneously extract entities with semantic relations from a document.
Zero-Shot Relation Extraction via Reading Comprehension. In Proceedings of CoNLL . 333–342
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Explicit semantic ranking for academic search via knowledge graph embedding. In Proceedings of the 26th international conference on world wide web . 1271–1279
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Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. In Proceedings of ACL
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Zero-shot Relation Classification as Textual Entailment
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Modeling relational data with graph convolutional networks. In European Semantic Web Conference . Springer, 593–607
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Extracting relational facts by an end-to-end neural model with copy mechanism. In Proceedings of ACL . 506–514
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Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs. In Proceedings of EMNLP . 4927–4938
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Decoupled weight decay regularization. In Proceedings of ICLR
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Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network. In Proceedings of ACL . 4309–4316
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A hierarchical framework for relation extraction with reinforcement learning. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 33. 7072–7079
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DocRED: A Large-Scale Document-Level Relation Extraction Dataset. In Proceedings of ACL . 764–777
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Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion. In Findings of EMNLP . 1263–1276
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Reasoning with Latent Structure Refinement for Document-Level Relation Extraction. In Proceedings of ACL . 1546–1557
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Global-to-Local Neural Networks for Document-Level Relation Extraction. In Proceedings of EMNLP . 3711–3721
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Double Graph Based Reasoning for Document-level Relation Extraction. In Proceedings of EMNLP . 1630–1640
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ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning. In Proceedings of NAACL . 3470–3479
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An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning. In Proceedings of EACL . 3650–3660
Markus Eberts and Adrian Ulges. 2021 · 2021
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Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, and Graham Neubig. 2021 · 2021
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. In Findings of the Association for Computational Linguistics: ACL 2022 . 45–57
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Scaling instruction-finetuned language models
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A sequence-to-sequence approach for document-level relation extraction. In Proceedings of the 21st Workshop on Biomedical Language Processing . 10–25
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TransO: a knowledge-driven representation learning method with ontology information constraints
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction. In Proceedings of ACL . 998–1004
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MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction. In Findings of ACL . 1359–1370
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A Robustly Optimized BERT Pre-training Approach with Post-training. In China National Conference on Chinese Computational Linguistics . Springer, 471–484
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Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction. In Proceedings of EMNLP . 1199–1212
Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka, Ander Barrena, and Eneko Agirre. 2021 · 2021
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Discriminative Reasoning for Document-level Relation Extraction. In Findings of ACL . 1653–1663
Kehai Chen Wang Xu and Tiejun Zhao. 2021 · 2021
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SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. In Findings of EMNLP . 524–534
Shuang Zeng, Yuting Wu, and Baobao Chang. 2021 · 2021
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Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, and Sharifah Mahani Aljunied. 2022 · 2022
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None Class Ranking Loss for Document-Level Relation Extraction. In Proceedings of IJCAI . 4538–4544
Wee Sun Lee Yang Zhou. 2022 · 2022
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Chain-of-Verification Reduces Hallucination in Large Language Models
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, and Jason Weston. 2023 · 2023
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Is GPT-3 a Good Data Annotator?. In Proceedings of ACL . Toronto, Canada, 11173–11195
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, and Lidong Bing. 2023 · 2023
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Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction. In Proceedings of ACL . Association for Computational Linguistics, Toronto, Canada, 15960–15973
Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, and Soujanya Poria. 2023a · 2023
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Document-level relation extraction with two-stage dynamic graph attention networks
Qi Sun, Kun Zhang, Kun Huang, Tiancheng Xu, Xun Li, and Yaodi Liu. 2023b · 2023
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A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction. In Proceedings of ACL . Association for Computational Linguistics, Toronto, Canada, 10853–10865
Ruoyu Zhang, Yanzeng Li, and Lei Zou. 2023 · 2023
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RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. In Proceedings of ACL . 6680–6691
Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, and Mingming Sun. 2023 · 2023
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