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We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector.
Long Short-term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Identifying anaphoric and non-anaphoric noun phrases to improve coreference resolution
Vincent Ng and Claire Cardie. 2002 · 2002
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A large-scale exploration of effective global features for a joint entity detection and tracking model
Hal Daumé III and Daniel Marcu. 2005 · 2005
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Understanding the value of features for coreference resolution
Eric Bengtson and Dan Roth. 2008 · 2008
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Coreference resolution in a modular, entity-centered model
Aria Haghighi and Dan Klein. 2010 · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton. 2010 · 2010
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Supervised noun phrase coreference research: The first fifteen years
Vincent Ng. 2010 · 2010
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A multi-pass sieve for coreference resolution
Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky, and Christopher Manning. 2010 · 2010
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Word representations: A Simple and General Method for Semi-supervised Learning
Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010 · 2010
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Latent structure perceptron with feature induction for unrestricted coreference resolution
Eraldo Rezende Fernandes, Cícero Nogueira Dos Santos, and Ruy Luiz Milidiú. 2012 · 2012
Cited alongside, same era.
Conll-2012 shared task: Modeling multilingual unrestricted coreference in ontonotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012
Cited alongside, same era.
Easy victories and uphill battles in coreference resolution
Greg Durrett and Dan Klein. 2013 · 2013
Cited alongside, same era.
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M Saxe, James L McClelland, and Surya Ganguli. 2013 · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
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TensorFlow: Large-scale Machine Learning on Heterogeneous Systems
Martın Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2015 · 2015
Later among the works it cites.
Entity-centric coreference resolution with model stacking
Kevin Clark and Christopher D. Manning. 2015 · 2015
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Latent structures for coreference resolution
Sebastian Martschat and Michael Strube. 2015 · 2015
Later among the works it cites.
Learning anaphoricity and antecedent ranking features for coreference resolution
Sam Wiseman, Alexander M. Rush, Stuart M. Shieber, and Jason Weston. 2015 · 2015
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A theoretically grounded application of dropout in recurrent neural networks
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Learning structured perceptrons for coreference resolution with latent antecedents and non-local features
Anders Björkelund and Jonas Kuhn. 2014 · 2014
Cited alongside, same era.
A joint model for entity analysis: Coreference, typing, and linking
Greg Durrett and Dan Klein. 2014 · 2014
Cited alongside, same era.
Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
Deep reinforcement learning for mention-ranking coreference models
Kevin Clark and Christopher D. Manning. 2016a
Cited in the paper.
Improving coreference resolution by learning entity-level distributed representations
Kevin Clark and Christopher D. Manning. 2016b
Cited in the paper.
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
Later among the works it cites.
Learning recurrent span representations for extractive question answering
Kenton Lee, Shimi Salant, Tom Kwiatkowski, Ankur Parikh, Dipanjan Das, and Jonathan Berant. 2016 · 2016
Later among the works it cites.
Learning global features for coreference resolution
Sam Wiseman, Alexander M Rush, and Stuart M Shieber. 2016 · 2016
Later among the works it cites.