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Named entity recognition and relation extraction are two important fundamental problems.
Representing text chunks
Erik F. Sang and Jorn Veenstra. 1999 · 1999
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Kernel methods for relation extraction
Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2002 · 2002
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George R. Doddington, Alexis Mitchell, Mark A. Przybocki, Lance A. Ramshaw, Stephanie M. Strassel, and Ralph M. Weischedel. 2004 · 2004
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A linear programming formulation for global inference in natural language tasks
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Ace 2005 multilingual training corpus
Christopher Walker, Stephanie Strassel, Julie Medero, and Kazuaki Maeda. 2006 · 2005
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Extracting relations with integrated information using kernel methods
Shubin Zhao and Ralph Grishman. 2005 · 2005
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Factorizing complex models: A case study in mention detection
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Multi-dimensional recurrent neural networks
Alex Graves, Santiago Fernández, and Jürgen Schmidhuber. 2007 · 2007
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A systematic exploration of the feature space for relation extraction
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Design challenges and misconceptions in named entity recognition
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Radu Florian, John F. Pitrelli, Salim Roukos, and Imed Zitouni. 2010 · 2010
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Exploiting syntactico-semantic structures for relation extraction
Yee Seng Chan and Dan Roth. 2011 · 2011
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Semi-supervised relation extraction with large-scale word clustering
Ang Sun, Ralph Grishman, and Satoshi Sekine. 2011 · 2011
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Ontonotes: A large training corpus for enhanced processing
Ralph Weischedel, Eduard Hovy, Mitchell Marcus, Martha Palmer, Robert Belvin, Sameer Pradhan, Lance Ramshaw, and Nianwen Xue. 2011 · 2011
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Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, Juliane Fluck, Martin Hofmann-Apitius, and Luca Toldo. 2012 · 2012
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Semantic compositionality through recursive matrix-vector spaces
Richard Socher, Brody Huval, Christopher D. Manning, and Andrew Y. Ng. 2012 · 2012
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Speech recognition with deep recurrent neural networks
Alex Graves, Abdel-rahman Mohamed, and Geoffrey E. Hinton. 2013 · 2013
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Embedding semantic similarity in tree kernels for domain adaptation of relation extraction
Barbara Plank and Alessandro Moschitti. 2013 · 2013
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Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
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Incremental joint extraction of entity mentions and relations
Qi Li and Heng Ji. 2014 · 2014
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Modeling joint entity and relation extraction with table representation
Makoto Miwa and Yutaka Sasaki. 2014 · 2014
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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 Jun Zhao. 2014 · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
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Highway networks
Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber. 2015 · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015 · 2015
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
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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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Flair: An easy-to-use framework for state-of-the-art nlp
Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, and Roland Vollgraf. 2019 · 2019
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What does bert look at? an analysis of bert’s attention
Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning. 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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Relation classification via recurrent neural network
Dongxu Zhang and Dong Wang. 2015 · 2015
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Layer normalization
Lei Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton. 2016 · 2016
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Table filling multi-task recurrent neural network for joint entity and relation extraction
Pankaj Gupta, Hinrich Schütze, and Bernt Andrassy. 2016 · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Joint models for extracting adverse drug events from biomedical text
Fei Li, Yue Zhang, Meishan Zhang, and Donghong Ji. 2016 · 2016
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Kalpit Dixit and Yaser Al. 2019 · 2019
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Span-based joint entity and relation extraction with transformer pre-training
Markus Eberts and Adrian Ulges. 2019 · 2019
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Neural relation extraction within and across sentence boundaries
Pankaj Gupta, Subburam Rajaram, Hinrich Schütze, and Thomas Runkler. 2019 · 2019
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
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Entity-relation extraction as multi-turn question answering
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, and Jiwei Li. 2019 · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
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A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi. 2019 · 2019
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End-to-end neural relation extraction using deep biaffine attention
Dat Quoc Nguyen and Karin Verspoor. 2019 · 2019
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Neural metric learning for fast end-to-end relation extraction
Tung Tran and Ramakanth Kavuluru. 2019 · 2019
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A multiscale visualization of attention in the transformer model
Jesse Vig. 2019 · 2019
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
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Extracting multiple-relations in one-pass with pre-trained transformers
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, and Saloni Potdar. 2019 · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 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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Reasoning with latent structure refinement for document-level relation extraction
Guoshun Nan, Zhijiang Guo, Ivan Sekulic, and Wei Lu. 2020 · 2020
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