---
title: "EMNLP 2020 — all papers, page 2 — the most cited first"
description: "133 works of EMNLP 2020 in our library · page 2 of 2, the most cited first. Among them: Keep CALM and Explore: Language Models for…"
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2020/works/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/emnlp/2020/works/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [EMNLP](https://md.research.elamur.ai/free/en/venues/emnlp/) / [2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) / [works](https://md.research.elamur.ai/free/en/venues/emnlp/2020/works/) / page 2

# EMNLP 2020: all papers in our library

133 works · page 2 of 2 · the most cited first · [← EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/)

[← prev](https://md.research.elamur.ai/free/en/venues/emnlp/2020/works/) [1](https://md.research.elamur.ai/free/en/venues/emnlp/2020/works/) **2**

101. **[Keep CALM and Explore: Language Models for Action Generation in Text-based Games](https://md.research.elamur.ai/free/en/papers/yao-2020-keep-calm-explore-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shunyu Yao, Rohan Rao, Matthew Hausknecht, et al.*2020 · 127 citations*
102. **[Entity Linking in 100 Languages](https://md.research.elamur.ai/free/en/papers/botha-2020-entity-linking-100-languages/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jan A. Botha, Zifei Shan, Daniel Gillick*2020 · 114 citations*
103. **[Monolingual Adapters for Zero-Shot Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/philip-2020-monolingual-adapters-zero-shot-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jerin Philip, Alexandre Berard, Matthias Gallé, et al.*2020 · 114 citations*
104. **[MLSUM: The Multilingual Summarization Corpus](https://md.research.elamur.ai/free/en/papers/scialom-2020-mlsum-multilingual-summarization-corpus/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2020 · 114 citations*
105. **[Identifying Elements Essential for BERT's Multilinguality](https://md.research.elamur.ai/free/en/papers/dufter-2020-identifying-elements-essential-bert-s/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Philipp Dufter, Hinrich Schütze*2020 · 112 citations*
106. **[XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization](https://md.research.elamur.ai/free/en/papers/raganato-2020-xl-wic-multilingual-benchmark-evaluating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alessandro Raganato, Tommaso Pasini, Jose Camacho-Collados, et al.*2020 · 111 citations*
107. **[Learning from Task Descriptions](https://md.research.elamur.ai/free/en/papers/weller-2020-learning-task-descriptions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orion Weller, Nicholas Lourie, Matt Gardner, et al.*2020 · 111 citations*
108. **[On the Ability and Limitations of Transformers to Recognize Formal Languages](https://md.research.elamur.ai/free/en/papers/bhattamishra-2020-ability-limitations-transformers-recognize-formal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Satwik Bhattamishra, Kabir Ahuja, Navin Goyal*2020 · 109 citations*
109. **[Look at the First Sentence: Position Bias in Question Answering](https://md.research.elamur.ai/free/en/papers/ko-2020-look-first-sentence-position-bias/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, et al.*2020 · 102 citations*
110. **[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*
111. **[Investigating African-American Vernacular English in Transformer-Based Text Generation](https://md.research.elamur.ai/free/en/papers/groenwold-2020-investigating-african-american-vernacular-english/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sophie Groenwold, Lily Ou, Aesha Parekh, et al.*2020 · 97 citations*
112. [**Generationary or «How We Went beyond Word Sense Inventories and Learned to Gloss»**Michele Bevilacqua, Marco Maru, Roberto Navigli*2020 · 90 citations*](https://md.research.elamur.ai/free/en/papers/bevilacqua-2020-generationary/)
113. **[Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/qin-2020-back-future-unsupervised-backprop-based/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lianhui Qin, Vered Shwartz, Peter West, et al.*2020 · 86 citations*
114. **[Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness](https://md.research.elamur.ai/free/en/papers/kim-2020-will-i-sound-like-me/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2020 · 83 citations*
115. **[Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks](https://md.research.elamur.ai/free/en/papers/toshniwal-2020-learning-ignore-long-document-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, et al.*2020 · 80 citations*
116. **[QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al.*2020 · 77 citations*
117. [**"I'd rather just go to bed": Understanding Indirect Answers**Annie Louis, Dan Roth, Filip Radlinski*2020 · 70 citations*](https://md.research.elamur.ai/free/en/papers/louis-2020-i-d-rather-just-go/)
118. **[Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training](https://md.research.elamur.ai/free/en/papers/stacey-2020-avoiding-hypothesis-only-bias-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Joe Stacey, Pasquale Minervini, Haim Dubossarsky, et al.*2020 · 67 citations*
119. [**Inquisitive Question Generation for High Level Text Comprehension**Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-inquisitive-question-generation-high-level/)
120. **[DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-dusql-large-scale-pragmatic-chinese/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lijie Wang, Ao Zhang, Kun Wu, et al.*2020 · 64 citations*
121. [**Incremental Neural Coreference Resolution in Constant Memory**Patrick Xia, João Sedoc, Benjamin Van Durme*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/xia-2020-incremental-neural-coreference-resolution-constant/)
122. **[ConjNLI: Natural Language Inference Over Conjunctive Sentences](https://md.research.elamur.ai/free/en/papers/saha-2020-conjnli-natural-language-inference-over/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swarnadeep Saha, Yixin Nie, Mohit Bansal*2020 · 50 citations*
123. [**Facilitating the Communication of Politeness through Fine-Grained Paraphrasing**Liye Fu, Susan Fussell, Cristian Danescu-Niculescu-Mizil*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/fu-2020-facilitating-communication-politeness-through-fine/)
124. **[Unsupervised stance detection for arguments from consequences](https://md.research.elamur.ai/free/en/papers/kobbe-2020-unsupervised-stance-detection-arguments-consequences/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Kobbe, Ioana Hulpuș, Heiner Stuckenschmidt*2020 · 38 citations*
125. **[Reactive Supervision: A New Method for Collecting Sarcasm Data](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Boaz Shmueli, Lun-Wei Ku, Soumya Ray*2020 · 36 citations*
126. **[MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision](https://md.research.elamur.ai/free/en/papers/huber-2020-mega-rst-discourse-treebanks-structure/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Patrick Huber, Giuseppe Carenini*2020 · 35 citations*
127. **[BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations](https://md.research.elamur.ai/free/en/papers/soler-2020-bert-knows-punta-cana-is/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aina Garí Soler, Marianna Apidianaki*2020 · 30 citations*
128. **[New Protocols and Negative Results for Textual Entailment Data Collection](https://md.research.elamur.ai/free/en/papers/bowman-2020-new-protocols-negative-results-textual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, et al.*2020 · 27 citations*
129. **[Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art](https://md.research.elamur.ai/free/en/papers/lu-2020-conundrums-entity-coreference-resolution-making/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jing Lu, Vincent Ng*2020 · 25 citations*
130. [**Semantic Role Labeling as Syntactic Dependency Parsing**Tianze Shi, Igor Malioutov, Ozan Irsoy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/)
131. **[TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks](https://md.research.elamur.ai/free/en/papers/long-2020-ted-cdb-large-scale-chinese/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wanqiu Long, Bonnie Webber, Deyi Xiong*2020 · 21 citations*
132. [**Parsing Gapping Constructions Based on Grammatical and Semantic Roles**Yoshihide Kato, Shigeki Matsubara*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kato-2020-parsing-gapping-constructions-based-grammatical/)
133. **[Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging](https://md.research.elamur.ai/free/en/papers/yavuz-2020-simple-data-augmentation-mask-token/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.*2020 · 5 citations*

[← prev](https://md.research.elamur.ai/free/en/venues/emnlp/2020/works/) [1](https://md.research.elamur.ai/free/en/venues/emnlp/2020/works/) **2**

- [← back to](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) — EMNLP 2020
