---
title: "Who cites Mark Sammons — 231 papers of our library"
description: "231 papers of the Elamur Research library cite the works of Mark Sammons, found in their bibliographies; the most cited first."
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---
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# Who cites Mark Sammons

233 citations of their works from 231 papers of our library (of the 141,840 whose bibliographies we read) · 52 with a page here, the most cited first · [← Mark Sammons](https://md.research.elamur.ai/free/en/authors/mark-sammons/)

1. **[Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,552 citations*
2. **[Semantic Parsing via Paraphrasing](https://md.research.elamur.ai/free/en/papers/berant-2014-semantic-parsing-paraphrasing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonathan Berant, Percy Liang*2014 · 682 citations*
3. [**Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences**Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.*2018 · 671 citations*](https://md.research.elamur.ai/free/en/papers/khashabi-2018-looking-beyond-surface-challenge-set/)
4. [**Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules**Heeyoung Lee, Angel Chang, Yves Peirsman, et al.*2013 · 536 citations*](https://md.research.elamur.ai/free/en/papers/lee-2013-deterministic-coreference-resolution-based-entity/)
5. [**Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction**Christopher Bryant, Mariano Felice, Ted Briscoe*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/)
6. [**Breaking NLI Systems with Sentences that Require Simple Lexical Inferences**Max Glockner, Vered Shwartz, Yoav Goldberg*2018 · 517 citations*](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/)
7. **[Learning Natural Language Inference with LSTM](https://md.research.elamur.ai/free/en/papers/wang-2016-learning-natural-language-inference-lstm/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shuohang Wang, Jing Jiang*2016 · 495 citations*
8. **[Transformers as Soft Reasoners over Language](https://md.research.elamur.ai/free/en/papers/clark-2020-transformers-soft-reasoners-over-language/) [International Joint Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/international-joint-conference-on-artificial-intelligence/)**Peter Clark, Oyvind Tafjord, Kyle Richardson*2020 · 376 citations*
9. **[ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers](https://md.research.elamur.ai/free/en/papers/yao-2022-zeroquant-efficient-affordable-post-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.*2022 · 302 citations*
10. **[Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.*2020 · 221 citations*
11. **[Explaining Answers with Entailment Trees](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.*2021 · 207 citations*
12. **[Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://md.research.elamur.ai/free/en/papers/poliak-2018-collecting-diverse-natural-language-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.*2018 · 190 citations*
13. **[What Makes Reading Comprehension Questions Easier?](https://md.research.elamur.ai/free/en/papers/sugawara-2018-what-makes-reading-comprehension-questions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.*2018 · 178 citations*
14. [**Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition**Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/)
15. **[Specialising Word Vectors for Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2018-specialising-word-vectors-lexical-entailment/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Vulić, Nikola Mrkšić*2018 · 160 citations*
16. **[Understanding tables with intermediate pre-training](https://md.research.elamur.ai/free/en/papers/eisenschlos-2020-understanding-tables-intermediate-pre-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Julian Eisenschlos, Syrine Krichene, Thomas Müller*2020 · 158 citations*
17. **[Compositional Sequence Labeling Models for Error Detection in Learner Writing](https://md.research.elamur.ai/free/en/papers/rei-2016-compositional-sequence-labeling-models-error/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marek Rei, Helen Yannakoudakis*2016 · 154 citations*
18. **[HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment](https://md.research.elamur.ai/free/en/papers/vulic-2017-hyperlex-large-scale-evaluation-graded/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Vulić, Daniela Gerz, Douwe Kiela, et al.*2017 · 148 citations*
19. **[From Arguments to Key Points: Towards Automatic Argument Summarization](https://md.research.elamur.ai/free/en/papers/haim-2020-arguments-key-points-automatic-argument/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Roy Bar-Haim, Lilach Eden, Roni Friedman, et al.*2020 · 144 citations*
20. [**Encode, Tag, Realize: High-Precision Text Editing arXiv:1909.01187**Eric Malmi, Sebastian Krause, Sascha Rothe, et al.*2019 · 118 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2019-encode-tag-realize-high-precision/)
21. **[Solving Hard Coreference Problems](https://md.research.elamur.ai/free/en/papers/peng-2015-solving-hard-coreference-problems/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Haoruo Peng, Daniel Khashabi, Dan Roth*2015 · 118 citations*
22. **[TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification](https://md.research.elamur.ai/free/en/papers/yin-2018-twowingos-two-wing-optimization-strategy/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenpeng Yin, Dan Roth*2018 · 114 citations*
23. [**Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework**Aaron Steven White, Pushpendre Rastogi, Kevin Duh, et al.*2017 · 110 citations*](https://md.research.elamur.ai/free/en/papers/white-2017-inference-is-everything-recasting-semantic/)
24. **[Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment](https://md.research.elamur.ai/free/en/papers/lobue-2011-types-common-sense-knowledge-needed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peter LoBue, Alexander Yates*2011 · 106 citations*
25. **[Investigating Reasons for Disagreement in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/jiang-2022-investigating-reasons-disagreement-natural-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Nan-Jiang Jiang, Marie-Catherine de Marneffe*2022 · 104 citations*
26. **[PRover: Proof Generation for Interpretable Reasoning over Rules](https://md.research.elamur.ai/free/en/papers/saha-2020-prover-proof-generation-interpretable-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.*2020 · 101 citations*
27. **[LAMBADA: Backward Chaining for Automated Reasoning in Natural Language](https://md.research.elamur.ai/free/en/papers/kazemi-2023-lambada-backward-chaining-automated-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.*2023 · 89 citations*
28. [**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/)
29. **[A Constrained Latent Variable Model for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/chang-2013-constrained-latent-variable-model-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai-Wei Chang, Rajhans Samdani, Dan Roth*2013 · 80 citations*
30. [**Neural Network Translation Models for Grammatical Error Correction arXiv:1606.00189**Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng*2016 · 79 citations*](https://md.research.elamur.ai/free/en/papers/chollampatt-2016-neural-network-translation-models-grammatical/)
31. **[A Joint Framework for Coreference Resolution and Mention Head Detection](https://md.research.elamur.ai/free/en/papers/peng-2015-joint-framework-coreference-resolution-mention/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Haoruo Peng, Kai-Wei Chang, Dan Roth*2015 · 75 citations*
32. **[Latent Trees for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/fernandes-2014-latent-trees-coreference-resolution/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Eraldo Rezende Fernandes, Cícero Nogueira dos Santos, Ruy Luiz Milidiú*2014 · 63 citations*
33. **[Culturally Aware Natural Language Inference](https://md.research.elamur.ai/free/en/papers/huang-2023-culturally-aware-natural-language-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jing Huang, Diyi Yang*2023 · 61 citations*
34. **[Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness](https://md.research.elamur.ai/free/en/papers/sanchez-2018-behavior-analysis-nli-models-uncovering/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ivan Sanchez, Jeff Mitchell, Sebastian Riedel*2018 · 55 citations*
35. **[On-demand Injection of Lexical Knowledge for Recognising Textual Entailment](https://md.research.elamur.ai/free/en/papers/gomez-2017-demand-injection-lexical-knowledge-recognising/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pascual Martínez-Gómez, Koji Mineshima, Yusuke Miyao, et al.*2017 · 52 citations*
36. **[ANLIzing the Adversarial Natural Language Inference Dataset](https://md.research.elamur.ai/free/en/papers/williams-2022-anlizing-adversarial-natural-language-inference/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Adina Williams, Tristan Thrush, Douwe Kiela*2022 · 48 citations*
37. **[An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-empirical-study-model-agnostic-debiasing/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.*2020 · 36 citations*
38. [**SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference**Martin Schmitt, Hinrich Schütze*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schmitt-2019-sherliic-typed-event-focused-lexical/)
39. [**A Systematic Review of Automated Grammar Checking in English Language arXiv:1804.00540**Madhvi Soni, Jitendra Singh Thakur*2018 · 28 citations*](https://md.research.elamur.ai/free/en/papers/soni-2018-systematic-review-automated-grammar-checking/)
40. **[Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hitomi Yanaka, Koji Mineshima, Kentaro Inui*2021 · 27 citations*
41. **[HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-hyponli-exploring-artificial-patterns-hypothesis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tianyu Liu, Xin Zheng, Baobao Chang, et al.*2020 · 27 citations*
42. [**Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models arXiv:2005.14709**Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/schlegel-2020-leaderboards-survey-methods-revealing-weaknesses/)
43. **[Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms](https://md.research.elamur.ai/free/en/papers/noh-2015-multi-level-alignments-as-extensible/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Tae-Gil Noh, Sebastian Padó, Vered Shwartz, et al.*2015 · 17 citations*
44. [**The First Shared Task on Discourse Representation Structure Parsing**Lasha Abzianidze, Rik van Noord, Hessel Haagsma, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2019-first-shared-task-discourse-representation/)
45. **[Towards the Necessity for Debiasing Natural Language Inference Datasets](https://md.research.elamur.ai/free/en/papers/panenghat-2020-necessity-debiasing-natural-language-inference/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mithun Paul Panenghat, Sandeep Suntwal, Faiz Rafique, et al.*2020 · 13 citations*
46. **[A Mixed Deterministic Model for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/yuan-2012-mixed-deterministic-model-coreference-resolution/) [Joint Conference on EMNLP and CoNLL - Shared Task](https://md.research.elamur.ai/free/en/venues/joint-conference-on-emnlp-and-conll-shared-task/)**Bo Yuan, Qingcai Chen, Yang Xiang, et al.*2012 · 13 citations*
47. [**SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives**Rashid Nizamani, Sebastian Schuster, Vera Demberg*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/nizamani-2024-siga-naturalistic-nli-dataset-english/)
48. **[Labeled Alignment for Recognizing Textual Entailment](https://md.research.elamur.ai/free/en/papers/wang-2013-labeled-alignment-recognizing-textual-entailment/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Xiaolin Wang, Hai Zhao, Bao-Liang Lu*2013 · 6 citations*
49. **[Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment](https://md.research.elamur.ai/free/en/papers/vo-2016-corpora-learning-mutual-relationship-between/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ngoc Phuoc An Vo, Octavian Popescu*2016 · 3 citations*
50. **[Towards a Semantic Model for Textual Entailment Annotation](https://md.research.elamur.ai/free/en/papers/toledo-2014-semantic-model-textual-entailment-annotation/) [Linguistic Issues in Language Technology](https://md.research.elamur.ai/free/en/venues/lilt/)**Assaf Toledo, Stavroula Alexandropoulou, Sophie Chesney, et al.*2014 · 2 citations*
51. **[Semi-Automatic Construction of a Textual Entailment Dataset: Selecting Candidates with Vector Space Models](https://md.research.elamur.ai/free/en/papers/fonseca-2015-semi-automatic-construction-textual-entailment/) [Brazilian Symposium in Information and Human Language Technology](https://md.research.elamur.ai/free/en/venues/stil/)**Erick R. Fonseca, Sandra Maria Aluísio*2015 · 1 citation*
52. [**E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language Understanding arXiv:2609.33530**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral/)

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