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We present a new architecture for storing and accessing entity mentions during online text processing.
Centering: A framework for modeling the local coherence of discourse
Barbara J Grosz, Scott Weinstein, and Aravind K Joshi. 1995 · 1995
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Integration of visual and linguistic information in spoken language comprehension
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Incremental reference resolution: The task, metrics for evaluation, and a Bayesian filtering model that is sensitive to disfluencies
David Schlangen, Timo Baumann, and Michaela Atterer. 2009 · 2009
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
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Adam: A method for stochastic optimization
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Glove: Global vectors for word representation
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Entity-centric coreference resolution with model stacking
Kevin Clark and Christopher D. Manning. 2015 · 2015
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Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, and Noah A. Smith. 2017 · 2017
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End-to-end neural coreference resolution
Kenton Lee, Luheng He, Mike Lewis, and Luke Zettlemoyer. 2017 · 2017
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Reference-aware language models
Zichao Yang, Phil Blunsom, Chris Dyer, and Wang Ling. 2017 · 2017
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Neural models for reasoning over multiple mentions using coreference
Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William Cohen, and Ruslan Salakhutdinov. 2018 · 2018
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Mind the GAP: A balanced corpus of gendered ambiguous pronouns
Kellie Webster, Marta Recasens, Vera Axelrod, and Jason Baldridge. 2018 · 2018
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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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A neural language model for dynamically representing the meanings of unknown words and entities in a discourse
Sosuke Kobayashi, Naoaki Okazaki, and Kentaro Inui. 2017 · 2017
Cited alongside, same era.
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
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