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Deep Reinforcement Learning for Mention-Ranking Coreference Models
Kevin Clark
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Christopher D. Manning
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity Linking
Ethan Zhou
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Jinho D. Choi
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Triad-based Neural Network for Coreference Resolution
Yuanliang Meng
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Anna Rumshisky
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AMR Beyond the Sentence: the Multi-sentence AMR corpus
Tim O’Gorman
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Michael Regan
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Kira Griffitt
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Ulf Hermjakob
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Kevin Knight
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Martha Palmer
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End-to-end Neural Coreference Resolution
Kenton Lee
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Luheng He
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Mike Lewis
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Luke Zettlemoyer
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A Mention-Ranking Model for Abstract Anaphora Resolution
Ana Marasović
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Leo Born
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Juri Opitz
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Anette Frank
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Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Misra
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John Langford
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Yoav Artzi
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Dynamic Entity Representations in Neural Language Models
Yangfeng Ji
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Chenhao Tan
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Sebastian Martschat
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Yejin Choi
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Noah A. Smith
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A Simpler and More Generalizable Story Detector using Verb and Character Features
Joshua Eisenberg
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Mark Finlayson
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PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution
Hong Chen
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Zhenhua Fan
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Hao Lu
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Alan Yuille
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Shu Rong
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Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers
Nafise Sadat Moosavi
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Michael Strube
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A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi
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Naoaki Okazaki
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Kentaro Inui
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Leveraging Discourse Information Effectively for Authorship Attribution
Elisa Ferracane
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Su Wang
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Raymond Mooney
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Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts
Henry Y. Chen
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Ethan Zhou
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Jinho D. Choi
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Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
Phong Le
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Ivan Titov
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Sanaphor++: Combining Deep Neural Networks with Semantics for Coreference Resolution
Julien Plu
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Roman Prokofyev
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Alberto Tonon
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Philippe Cudré-Mauroux
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Djellel Eddine Difallah
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Raphaël Troncy
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Giuseppe Rizzo
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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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Neural Text Generation in Stories Using Entity Representations as Context
Elizabeth Clark
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Yangfeng Ji
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Noah A. Smith
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Gender Bias in Coreference Resolution
Rachel Rudinger
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Jason Naradowsky
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Brian Leonard
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Benjamin Van Durme
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Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao
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Tianlu Wang
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Mark Yatskar
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Vicente Ordonez
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Kai-Wei Chang
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Higher-Order Coreference Resolution with Coarse-to-Fine Inference
Kenton Lee
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Luheng He
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Luke Zettlemoyer
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Coarse-to-Fine Question Answering for Long Documents
Eunsol Choi
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Daniel Hewlett
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Jakob Uszkoreit
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Illia Polosukhin
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Alexandre Lacoste
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Jonathan Berant
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Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures
Prafulla Kumar Choubey
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Ruihong Huang
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Deep Reinforcement Learning for Chinese Zero Pronoun Resolution
Qingyu Yin
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Yu Zhang
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Wei-Nan Zhang
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Ting Liu
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William Yang Wang
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Entity-Centric Joint Modeling of Japanese Coreference Resolution and Predicate Argument Structure Analysis
Tomohide Shibata
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Sadao Kurohashi
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Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering
Rui Zhang
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Cícero Nogueira dos Santos
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Michihiro Yasunaga
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Bing Xiang
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Dragomir Radev
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Deep Reinforcement Learning for NLP
William Yang Wang
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Jiwei Li
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Xiaodong He
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Use Generalized Representations, But Do Not Forget Surface Features
Nafise Sadat Moosavi
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Michael Strube
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Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution
Ina Roesiger
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Maximilian Köper
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Kim Anh Nguyen
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Sabine Schulte im Walde
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Towards Coreference for Literary Text: Analyzing Domain-Specific Phenomena
Ina Roesiger
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Sarah Schulz
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Nils Reiter
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Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments
Dario Stojanovski
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Alexander Fraser
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https://github.com/clarkkev/deep-coref
Field Of Study