Fetching the paper…
Reading the bibliography…
Entity and Relation Extraction (ERE) is an important task in information extraction.
Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003
Earlier work this paper cites.
The automatic content extraction (ACE) program – tasks, data, and evaluation
George Doddington, Alexis Mitchell, Mark Przybocki, Lance Ramshaw, Stephanie Strassel, and Ralph Weischedel. 2004 · 2004
Earlier work this paper cites.
Ace 2005 multilingual training corpus
Christopher Walker, Stephanie Strassel, Julie Medero, and Kazuaki Maeda. 2006 · 2005
Earlier work this paper cites.
A note on over-smoothing for graph neural networks
Chen Cai and Yusu Wang. 2020 · 2006
Earlier work this paper cites.
Hypersage: Generalizing inductive representation learning on hypergraphs
Devanshu Arya, Deepak K Gupta, Stevan Rudinac, and Marcel Worring. 2020 · 2010
Earlier work this paper cites.
Exploiting syntactico-semantic structures for relation extraction
Yee Seng Chan and Dan Roth. 2011 · 2011
Earlier work this paper cites.
Span-based joint entity and relation extraction with transformer pre-training
Markus Eberts and Adrian Ulges. 2020 · 2013
Earlier work this paper cites.
Modeling joint entity and relation extraction with table representation
Makoto Miwa and Yutaka Sasaki. 2014 · 2014
Earlier work this paper cites.
Conditional random fields as recurrent neural networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, and Philip H. S. Torr. 2015a · 2015
Earlier work this paper cites.
Deep biaffine attention for neural dependency parsing
Timothy Dozat and Christopher D. Manning. 2016 · 2016
Earlier work this paper cites.
Table filling multi-task recurrent neural network for joint entity and relation extraction
Pankaj Gupta, Hinrich Schütze, and Bernt Andrassy. 2016 · 2016
Earlier work this paper cites.
End-to-end relation extraction using LSTMs on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
Earlier work this paper cites.
Going out on a limb: Joint extraction of entity mentions and relations without dependency trees
Arzoo Katiyar and Claire Cardie. 2017 · 2017
Earlier work this paper cites.
End-to-end neural relation extraction with global optimization
Meishan Zhang, Yue Zhang, and Guohong Fu. 2017 · 2017
Earlier work this paper cites.
Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction
Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
Earlier work this paper cites.
Inference in probabilistic graphical models by graph neural networks
KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, and Xaq Pitkow. 2018 · 2018
Earlier work this paper cites.
Matching the blanks: Distributional similarity for relation learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski. 2019 · 2019
Earlier work this paper cites.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Hypergraph neural networks
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, and Yue Gao. 2019 · 2019
Cited alongside, same era.
GraphRel: Modeling text as relational graphs for joint entity and relation extraction
Tsu-Jui Fu, Peng-Hsuan Li, and Wei-Yun Ma. 2019 · 2019
Cited alongside, same era.
Joint type inference on entities and relations via graph convolutional networks
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, and Nan Duan. 2019 · 2019
Cited alongside, same era.
Entity, relation, and event extraction with contextualized span representations
Structured prediction as translation between augmented natural languages
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, RISHITA ANUBHAI, Cicero Nogueira dos Santos, Bing Xiang, and Stefano Soatto. 2021 · 2021
Later among the works it cites.
Neural enhanced belief propagation on factor graphs
Victor Garcia Satorras and Max Welling. 2021 · 2021
Later among the works it cites.
A trigger-sense memory flow framework for joint entity and relation extraction
Yongliang Shen, Xinyin Ma, Yechun Tang, and Weiming Lu. 2021 · 2021
Later among the works it cites.
UniRE: A unified label space for entity relation extraction
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, and Junchi Yan. 2021 · 2021
Later among the works it cites.
A partition filter network for joint entity and relation extraction
Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, and Zhongyu Wei. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Second-order semantic dependency parsing with end-to-end neural networks
Xinyu Wang, Jingxian Huang, and Kewei Tu. 2019 · 2019
Cited alongside, same era.
Belief propagation neural networks
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, and Stefano Ermon. 2020 · 2020
Cited alongside, same era.
ALBERT: A lite BERT for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
Cited alongside, same era.
High-order semantic role labeling
Zuchao Li, Hai Zhao, Rui Wang, and Kevin Parnow. 2020 · 2020
Cited alongside, same era.
Two are better than one: Joint entity and relation extraction with table-sequence encoders
Jue Wang and Wei Lu. 2020 · 2020
Cited alongside, same era.
Second-order neural dependency parsing with message passing and end-to-end training
Xinyu Wang and Kewei Tu. 2020 · 2020
Cited alongside, same era.
Zexuan Zhong and Danqi Chen. 2021 · 2021
Later among the works it cites.
Graph neural networks intersect probabilistic graphical models: A survey
Chenqing Hua. 2022 · 2022
Later among the works it cites.
Joint information extraction with cross-task and cross-instance high-order modeling
Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, and Kewei Tu. 2022 · 2022
Later among the works it cites.
Autoregressive structured prediction with language models
Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, and Mrinmaya Sachan. 2022 · 2022
Later among the works it cites.
Unified structure generation for universal information extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2022 · 2022
Later among the works it cites.
Neural structured prediction for inductive node classification
Meng Qu, Huiyu Cai, and Jian Tang. 2022 · 2022
Later among the works it cites.
An empirical study of pipeline vs. joint approaches to entity and relation extraction
Zhaohui Yan, Zixia Jia, and Kewei Tu. 2022 · 2022
Later among the works it cites.
Combining (second-order) graph-based and headed-span-based projective dependency parsing
Songlin Yang and Kewei Tu. 2022 · 2022
Later among the works it cites.
Packed levitated marker for entity and relation extraction
Deming Ye, Yankai Lin, Peng Li, and Maosong Sun. 2022 · 2022
Later among the works it cites.
Fast and accurate end-to-end span-based semantic role labeling as word-based graph parsing
Shilin Zhou, Qingrong Xia, Zhenghua Li, Yu Zhang, Yu Hong, and Min Zhang. 2022 · 2022
Later among the works it cites.
Hgnn+: General hypergraph neural networks
Yue Gao, Yifan Feng, Shuyi Ji, and Rongrong Ji. 2023 · 2023
Closest in time.