Fetching the paper…
Reading the bibliography…
In this paper, we propose a new paradigm for the task of entity-relation extraction.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001
Earlier work this paper cites.
Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003
Earlier work this paper cites.
A linear programming formulation for global inference in natural language tasks
Dan Roth and Wen-tau Yih. 2004 · 2004
Earlier work this paper cites.
Scaling up pomdps for dialog management: The“summary pomdp”method
Jason D Williams and Steve Young. 2005 · 2005
Earlier work this paper cites.
An isu dialogue system exhibiting reinforcement learning of dialogue policies: generic slot-filling in the talk in-car system
Oliver Lemon, Kallirroi Georgila, James Henderson, and Matthew Stuttle. 2006 · 2006
Earlier work this paper cites.
Global inference for entity and relation identification via a linear programming formulation
Dan Roth and Wen-tau Yih. 2007 · 2007
Earlier work this paper cites.
Curriculum learning
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
Earlier work this paper cites.
A rich feature vector for protein-protein interaction extraction from multiple corpora
Makoto Miwa, Rune Sætre, Yusuke Miyao, and Jun’ichi Tsujii. 2009 · 2009
Earlier work this paper cites.
Joint entity and relation extraction using card-pyramid parsing
Rohit J Kate and Raymond J Mooney. 2010 · 2010
Earlier work this paper cites.
Jointly identifying entities and extracting relations in encyclopedia text via a graphical model approach
Xiaofeng Yu and Wai Lam. 2010 · 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.
Joint inference of entities, relations, and coreference
Sameer Singh, Sebastian Riedel, Brian Martin, Jiaping Zheng, and Andrew McCallum. 2013 · 2013
Earlier work this paper cites.
Joint inference for fine-grained opinion extraction
Bishan Yang and Claire Cardie. 2013 · 2013
Earlier work this paper cites.
A fast and accurate dependency parser using neural networks
Danqi Chen and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Incremental joint extraction of entity mentions and relations
Qi Li and Heng Ji. 2014 · 2014
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.
Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
Cited alongside, same era.
Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. 2015 · 2015
Cited alongside, same era.
Multi-domain dialog state tracking using recurrent neural networks
Nikola Mrkšić, Diarmuid O Séaghdha, Blaise Thomson, Milica Gašić, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, and Steve Young. 2015 · 2015
Cited alongside, same era.
Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D Manning. 2015 · 2015
Cited alongside, same era.
Going out on a limb: Joint extraction of entity mentions and relations without dependency trees
Arzoo Katiyar and Claire Cardie. 2017 · 2017
Later among the works it cites.
Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer. 2017 · 2017
Later among the works it cites.
Reasonet: Learning to stop reading in machine comprehension
Yelong Shen, Po-Sen Huang, Jianfeng Gao, and Weizhu Chen. 2017 · 2017
Later among the works it cites.
S-net: From answer extraction to answer generation for machine reading comprehension
Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, and Ming Zhou. 2017 · 2017
Later among the works it cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Timothy Dozat and Christopher D Manning. 2016 · 2016
Cited alongside, same era.
Table filling multi-task recurrent neural network for joint entity and relation extraction
Pankaj Gupta, Hinrich Schütze, and Bernt Andrassy. 2016 · 2016
Cited alongside, same era.
Dialogue learning with human-in-the-loop
Jiwei Li, Alexander H Miller, Sumit Chopra, Marc’Aurelio Ranzato, and Jason Weston. 2016 · 2016
Cited alongside, same era.
Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. 2016 · 2016
Cited alongside, same era.
End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
End-to-end relation extraction using lstms on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
Cited alongside, same era.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Bidirectional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016
Cited alongside, same era.
Dcn+: Mixed objective and deep residual coattention for question answering
Caiming Xiong, Victor Zhong, and Richard Socher. 2017 · 2017
Later among the works it cites.
End-to-end neural relation extraction with global optimization
Meishan Zhang, Yue Zhang, and Guohong Fu. 2017 · 2017
Later among the works it cites.
Joint entity and relation extraction based on a hybrid neural network
Suncong Zheng, Yuexing Hao, Dongyuan Lu, Hongyun Bao, Jiaming Xu, Hongwei Hao, and Bo Xu. 2017 · 2017
Later among the works it cites.
Adversarial training for multi-context joint entity and relation extraction
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, and Chris Develder. 2018 · 2018
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
The natural language decathlon: Multitask learning as question answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Extracting entities and relations with joint minimum risk training
Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, and Kewen Wu. 2018 · 2018
Later among the works it cites.
A hierarchical framework for relation extraction with reinforcement learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, and Minlie Huang. 2018 · 2018
Later among the works it cites.
Qanet: Combining local convolution with global self-attention for reading comprehension
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V Le. 2018 · 2018
Later among the works it cites.
Extracting relational facts by an end-to-end neural model with copy mechanism
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, and Jun Zhao. 2018 · 2018
Later among the works it cites.