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Document-level information extraction (IE) is a crucial task in natural language processing (NLP).
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2019 · 1906
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Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2019 · 1909
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Fourth Message Uunderstanding Conference (MUC-4): Proceedings of a Conference Held in McLean, Virginia, June 16-18, 1992
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Information extraction: Techniques and challenges
Ralph Grishman. 1997 · 1997
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Muc-7 information extraction task definition
Nancy Chinchor and Elaine Marsh. 1998 · 1998
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Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Guoshun Nan, Zhijiang Guo, Ivan Sekulić, and Wei Lu. 2020 · 2005
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Exploring various knowledge in relation extraction
GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005 · 2005
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The stages of event extraction
David Ahn. 2006 · 2006
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Double Graph Based Reasoning for Document-level Relation Extraction
Shuang Zeng, Runxin Xu, Baobao Chang, and Lei Li. 2020 · 2009
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Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova, and Wen-tau Yih. 2017 · 2017
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Distant Supervision for Relation Extraction beyond the Sentence Boundary
Chris Quirk and Hoifung Poon. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Cn-dbpedia: A never-ending chinese knowledge extraction system
Bo Xu, Yong Xu, Jiaqing Liang, Chenhao Xie, Bin Liang, Wanyun Cui, and Yanghua Xiao. 2017 · 2017
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Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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N-ary Relation Extraction using Graph-State LSTM
Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea. 2018 · 2018
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DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, and Jun Zhao. 2018 · 2018
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Attention Guided Graph Convolutional Networks for Relation Extraction
Zhijiang Guo, Yan Zhang, and Wei Lu. 2019 · 2019
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Document-level n-ary relation extraction with multiscale representation learning
Robin Jia, Cliff Wong, and Hoifung Poon. 2019a · 2019
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Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong, and Hoifung Poon. 2019b · 2019
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Text classification algorithms: A survey
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura Barnes, and Donald Brown. 2019 · 2019
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Renet: A deep learning approach for extracting gene-disease associations from literature
Ye Wu, Ruibang Luo, Henry C. M. Leung, Hing-Fung Ting, and Tak Wah Lam. 2019 · 2019
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DocRED: A large-scale document-level relation extraction dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, and Maosong Sun. 2019b · 2019
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Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Shun Zheng, Wei Cao, Wei Xu, and Jiang Bian. 2019a · 2019
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Document-Level Event Argument Extraction by Conditional Generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo. 2021 · 2021
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Document-level Event Extraction via Parallel Prediction Networks
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, and Taifeng Wang. 2021 · 2021
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Attention-based neural network for driving environment complexity perception
Ce Zhang, Azim Eskandarian, and Xuelai Du. 2021a · 2021
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Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma, and Jing Huang. 2021 · 2021
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Xinya Du and Claire Cardie. 2020 · 2020
Cited alongside, same era.
Multi-sentence argument linking
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme. 2020 · 2020
Cited alongside, same era.
SciREX: A challenge dataset for document-level information extraction
Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, and Iz Beltagy. 2020 · 2020
Cited alongside, same era.
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction
Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, and Shikun Zhang. 2020 · 2020
Cited alongside, same era.
A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
Cited alongside, same era.
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, and Pengfei Yin. 2020 · 2020
Cited alongside, same era.
Global-to-Local Neural Networks for Document-Level Relation Extraction
Difeng Wang, Wei Hu, Ermei Cao, and Weijian Sun. 2020 · 2020
Cited alongside, same era.
Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, and Jinqiao Shi. 2022 · 2022
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Dynamic Global Memory for Document-level Argument Extraction
Xinya Du, Sha Li, and Heng Ji. 2022 · 2022
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RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
Yuan Liang, Zhuoxuan Jiang, Di Yin, and Bo Ren. 2022 · 2022
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DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
MeiHan Tong, Bin Xu, Shuai Wang, Meihuan Han, Yixin Cao, Jiangqi Zhu, Siyu Chen, Lei Hou, and Juanzi Li. 2022 · 2022
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Query and extract: Refining event extraction as type-oriented binary decoding
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, and Lifu Huang. 2022 · 2022
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SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, and Jiawei Han. 2022 · 2022
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Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, and Jiawei Han. 2022 · 2022
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A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, and Zhifang Sui. 2022 · 2022
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EA2E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
Qi Zeng, Qiusi Zhan, and Heng Ji. 2022 · 2022
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Ce Zhang and Azim Eskandarian. 2022 · 2022
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Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph
Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, and Min Zhang. 2022 · 2022
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The art of prompting: Event detection based on type specific prompts
Sijia Wang, Mo Yu, and Lifu Huang. 2023 · 2023
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Document-Level Relation Extraction with Path Reasoning
Wang Xu, Kehai Chen, and Tiejun Zhao. 2023 · 2023
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