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Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence entities.
Fine-tune bert for docred with two-step process
Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, and William Wang. 2019 · 1909
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Graph theory
William Thomas Tutte. 1984 · 1984
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Bidirectional recurrent neural networks
Mike Schuster and Kuldip K. Paliwal. 1997 · 1997
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The automatic content extraction (ace) program - tasks, data, and evaluation
George R. Doddington, Alexis Mitchell, Mark A. Przybocki, Lance A. Ramshaw, Stephanie Strassel, and Ralph M. Weischedel. 2004 · 2004
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A shortest path dependency kernel for relation extraction
Razvan C. Bunescu and Raymond J. Mooney. 2005 · 2005
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Structured prediction models via the matrix-tree theorem
Terry K Koo, Amir Globerson, Xavier Carreras, and Michael Collins. 2007 · 2007
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Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2009 · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E. Hinton. 2010 · 2010
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Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum. 2010 · 2010
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Multi-instance multi-label learning for relation extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, and Christopher D. Manning. 2012 · 2012
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
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Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jian Zhao. 2014 · 2014
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A dependency-based neural network for relation classification
Yang Liu, Furu Wei, Sujian Li, Heng Ji, Ming Zhou, and Houfeng Wang. 2015 · 2015
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Bidirectional recurrent convolutional neural network for relation classification
Rui Cai, Xiaodong Zhang, and Houfeng Wang. 2016 · 2016
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Biocreative v cdr task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J. Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J. Mattingly, Thomas C. Wiegers, and Zhiyong Lu. 2016a · 2016
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End-to-end relation extraction using lstms on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
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Improving chemical disease relation extraction with rich features and weakly labeled data
Yifan Peng, Chih-Hsuan Wei, and Zhiyong Lu. 2016 · 2016
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Relation classification via multi-level attention cnns
Linlin Wang, Zhu Cao, Gerard de Melo, and Zhiyuan Liu. 2016 · 2016
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Attention-based bidirectional long short-term memory networks for relation classification
Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, and Bo Xu. 2016 · 2016
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Chemical-induced disease relation extraction via convolutional neural network
Jinghang Gu, Fuqing Sun, Longhua Qian, and Guodong Zhou. 2017 · 2017
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Structured attention networks
Yoon Kim, Carl Denton, Luong Hoang, and Alexander M. Rush. 2017 · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling. 2017 · 2017
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Swim: A simple word interaction model for implicit discourse relation recognition
Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, and Min-Yen Kan. 2017 · 2017
Cited alongside, same era.
Encoding sentences with graph convolutional networks for semantic role labeling
Diego Marcheggiani and Ivan Titov. 2017 · 2017
Cited alongside, same era.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary Devito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
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Simultaneously self-attending to all mentions for full-abstract biological relation extraction
Patrick Verga, Emma Strubell, and Andrew McCallum. 2018 · 2018
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Constructing datasets for multi-hop reading comprehension across documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Graph convolution over pruned dependency trees improves relation extraction
Yuhao Zhang, Peng Qi, and Christopher D. Manning. 2018 · 2018
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An effective neural model extracting document level chemical-induced disease relations from biomedical literature
Wei Zheng, Hongfei Lin, Zhiheng Li, Xiaoxia Liu, Zhengguang Li, Bo Xu, Yijia Zhang, Zhihao Yang, and Jian Wang. 2018 · 2018
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Cited alongside, same era.
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
Cited alongside, same era.
Context-aware representations for knowledge base relation extraction
Daniil Sorokin and Iryna Gurevych. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
A walk-based model on entity graphs for relation extraction
Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2018 · 2018
Cited alongside, same era.
Connecting the dots: Document-level neural relation extraction with edge-oriented graphs
Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2019 · 2019
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Question answering by reasoning across documents with graph convolutional networks
Nicola De Cao, Wilker Aziz, and Ivan Titov. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Evaluating discourse in structured text representations
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, and Katrin Erk. 2019 · 2019
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Document-level n-ary relation extraction with multiscale representation learning
Robin Jia, Cliff Wong, and Hoifung Poon. 2019 · 2019
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Kagnet: Knowledge-aware graph networks for commonsense reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, and Xiang Ren. 2019 · 2019
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Inter-sentence relation extraction with document-level graph convolutional neural network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, and Sophia Ananiadou. 2019 · 2019
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Leveraging dependency forest for neural medical relation extraction
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, and Jinsong Su. 2019 · 2019
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Multi-hop reading comprehension across multiple documents by reasoning over heterogeneous graphs
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, and Bowen Zhou. 2019 · 2019
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Renet: A deep learning approach for extracting gene-disease associations from literature
Ye Wu, Ruibang Luo, Henry CM Leung, Hing-Fung Ting, and Tak-Wah Lam. 2019 · 2019
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Aligning cross-lingual entities with multi-aspect information
Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, and Xu Sun. 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. 2019 · 2019
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Learning latent forests for medical relation extraction
Zhijiang Guo, Guoshun Nan, Wei Lu, and Shay B. Cohen. 2020 · 2020
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