---
title: "Who cites Easy Victories and Uphill Battles in Coreference…"
description: "104 papers of the Elamur Research library cite «Easy Victories and Uphill Battles in Coreference Resolution», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/durrett-2013-easy-victories-uphill-battles-coreference/cited-by/"
---
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# Who cites «Easy Victories and Uphill Battles in Coreference Resolution»

104 papers of our library cite it (of the 140,884 whose bibliographies we read) · 46 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/durrett-2013-easy-victories-uphill-battles-coreference/)

1. [**Deep Contextualized Word Representations**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 3,240 citations*](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/)
2. [**Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2018 · 1,186 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/)
3. [**Gender Bias in Coreference Resolution**Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.*2018 · 852 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/)
4. [**BERT for Coreference Resolution: Baselines and Analysis**Mandar Joshi, Omer Levy, Luke Zettlemoyer, et al.*2019 · 488 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/)
5. [**Deep Reinforcement Learning for Mention-Ranking Coreference Models**Kevin Clark, Christopher D. Manning*2016 · 461 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/)
6. [**Improving Coreference Resolution by Learning Entity-Level Distributed Representations**Kevin Clark, Christopher D. Manning*2016 · 422 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-improving-coreference-resolution-learning-entity/)
7. [**Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns**Kellie Webster, Marta Recasens, Vera Axelrod, et al.*2018 · 358 citations*](https://md.research.elamur.ai/free/en/papers/webster-2018-mind-gap-balanced-corpus-gendered/)
8. [**A Joint Model for Entity Analysis: Coreference, Typing, and Linking**Greg Durrett, Dan Klein*2014 · 329 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2014-joint-model-entity-analysis-coreference/)
9. [**Learning Global Features for Coreference Resolution**Sam Wiseman, Alexander M. Rush, Stuart M. Shieber*2016 · 264 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2016-learning-global-features-coreference-resolution/)
10. [**Entity-Centric Coreference Resolution with Model Stacking**Kevin Clark, Christopher D. Manning*2015 · 252 citations*](https://md.research.elamur.ai/free/en/papers/clark-2015-entity-centric-coreference-resolution-model/)
11. [**Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints**Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein*2016 · 209 citations*](https://md.research.elamur.ai/free/en/papers/durrett-2016-learning-based-single-document-summarization/)
12. [**Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution**Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al.*2015 · 209 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2015-learning-anaphoricity-antecedent-ranking-features/)
13. [**One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations**Yangfeng Ji, Jacob Eisenstein*2015 · 198 citations*](https://md.research.elamur.ai/free/en/papers/ji-2015-one-vector-is-not-enough/)
14. [**Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution**Shany Barhom, Vered Shwartz, Alon Eirew, et al.*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/barhom-2019-revisiting-joint-modeling-cross-document/)
15. [**Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features**Anders Björkelund, Jonas Kuhn*2014 · 162 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2014-learning-structured-perceptrons-coreference-resolution/)
16. [**Neural Models for Reasoning over Multiple Mentions Using Coreference**Bhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.*2018 · 147 citations*](https://md.research.elamur.ai/free/en/papers/dhingra-2018-neural-models-reasoning-over-multiple/)
17. [**Latent Structures for Coreference Resolution**Sebastian Martschat, Michael Strube*2015 · 111 citations*](https://md.research.elamur.ai/free/en/papers/martschat-2015-latent-structures-coreference-resolution/)
18. [**Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves**Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, et al.*2013 · 88 citations*](https://md.research.elamur.ai/free/en/papers/hajishirzi-2013-joint-coreference-resolution-named-entity/)
19. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/)
20. [**Error-Driven Analysis of Challenges in Coreference Resolution**Jonathan K. Kummerfeld, Dan Klein*2013 · 83 citations*](https://md.research.elamur.ai/free/en/papers/kummerfeld-2013-error-driven-analysis-challenges-coreference/)
21. [**A Joint Framework for Coreference Resolution and Mention Head Detection**Haoruo Peng, Kai-Wei Chang, Dan Roth*2015 · 75 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-joint-framework-coreference-resolution-mention/)
22. [**The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution**Ali Emami, Paul Trichelair, Adam Trischler, et al.*2019 · 73 citations*](https://md.research.elamur.ai/free/en/papers/emami-2019-knowref-coreference-corpus-removing-gender/)
23. [**Lexical Features in Coreference Resolution: To be Used With Caution**Nafise Sadat Moosavi, Michael Strube*2017 · 54 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2017-lexical-features-coreference-resolution-be/)
24. [**Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts**Henry Y. Chen, Ethan Zhou, Jinho D. Choi*2017 · 46 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-robust-coreference-resolution-entity-linking/)
25. [**WikiCREM: A Large Unsupervised Corpus for Coreference Resolution**Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.*2019 · 41 citations*](https://md.research.elamur.ai/free/en/papers/kocijan-2019-wikicrem-large-unsupervised-corpus-coreference/)
26. [**Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers**Anupam Guha, Mohit Iyyer, Danny Bouman, et al.*2015 · 39 citations*](https://md.research.elamur.ai/free/en/papers/guha-2015-removing-training-wheels-coreference-dataset/)
27. [**Recall Error Analysis for Coreference Resolution**Sebastian Martschat, Michael Strube*2014 · 37 citations*](https://md.research.elamur.ai/free/en/papers/martschat-2014-recall-error-analysis-coreference-resolution/)
28. [**Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution**Hieu Minh Tran, Duy Phung, Thien Huu Nguyen*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-exploiting-document-structures-cluster-consistencies/)
29. [**Transferring Coreference Resolvers with Posterior Regularization**André F. T. Martins*2015 · 35 citations*](https://md.research.elamur.ai/free/en/papers/martins-2015-transferring-coreference-resolvers-posterior-regularization/)
30. [**Prune-and-Score: Learning for Greedy Coreference Resolution**Chao Ma, Janardhan Rao Doppa, J. Walker Orr, et al.*2014 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ma-2014-prune-score-learning-greedy-coreference/)
31. [**When Annotation Schemes Change Rules Help: A Configurable Approach to Coreference Resolution beyond OntoNotes**Amir Zeldes, Shuo Zhang*2016 · 31 citations*](https://md.research.elamur.ai/free/en/papers/zeldes-2016-when-annotation-schemes-change-rules/)
32. [**Constrained Multi-Task Learning for Event Coreference Resolution**Jing Lu, Vincent Ng*2021 · 28 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-constrained-multi-task-learning-event/)
33. [**Unsupervised Ranking Model for Entity Coreference Resolution**Xuezhe Ma, Zhengzhong Liu, Eduard Hovy*2016 · 26 citations*](https://md.research.elamur.ai/free/en/papers/ma-2016-unsupervised-ranking-model-entity-coreference/)
34. [**OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres**Yilun Zhu, Sameer Pradhan, Amir Zeldes*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-ontogum-evaluating-contextualized-sota-coreference/)
35. [**Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art**Jing Lu, Vincent Ng*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/lu-2020-conundrums-entity-coreference-resolution-making/)
36. [**Coreference Resolution Evaluation for Higher Level Applications**Don Tuggener*2014 · 23 citations*](https://md.research.elamur.ai/free/en/papers/tuggener-2014-coreference-resolution-evaluation-higher-level/)
37. [**Coreference in Wikipedia: Main Concept Resolution**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/)
38. [**The More Antecedents, the Merrier: Resolving Multi-Antecedent Anaphors**Hardik Vala, Andrew Piper, Derek Ruths*2016 · 19 citations*](https://md.research.elamur.ai/free/en/papers/vala-2016-more-antecedents-merrier-resolving-multi/)
39. [**Limited memory incremental coreference resolution**Kellie Webster, James R. Curran*2014 · 18 citations*](https://md.research.elamur.ai/free/en/papers/webster-2014-limited-memory-incremental-coreference-resolution/)
40. [**Cross-Document Event Coreference Resolution on Discourse Structure**Xinyu Chen, Sheng Xu, Peifeng Li, et al.*2023 · 16 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-cross-document-event-coreference-resolution/)
41. [**Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution**Ina Roesiger, Maximilian Köper, Kim Anh Nguyen, et al.*2018 · 13 citations*](https://md.research.elamur.ai/free/en/papers/roesiger-2018-integrating-predictions-neural-network-relation/)
42. [**Search Space Pruning: A Simple Solution for Better Coreference Resolvers**Nafise Sadat Moosavi, Michael Strube*2016 · 11 citations*](https://md.research.elamur.ai/free/en/papers/moosavi-2016-search-space-pruning-simple-solution/)
43. [**Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective**Ian Porada, Alexandra Olteanu, Kaheer Suleman, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/porada-2024-challenges-evaluating-generalization-coreference-resolution/)
44. [**Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution**Nupoor Gandhi, Anjalie Field, Emma Strubell*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2023-annotating-mentions-alone-enables-efficient/)
45. [**NARC – Norwegian Anaphora Resolution Corpus**Petter Mæhlum, Dag Haug, Tollef Jørgensen, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/maehlum-2022-narc-norwegian-anaphora-resolution-corpus/)
46. [**Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms**Yilun Zhu, Sameer Pradhan, Amir Zeldes*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-anatomy-ontogum-adapting-gum-ontonotes/)

58 more papers of our library cite it; they have no page here yet.

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