---
title: "EMNLP 2020 — all accepted papers — the most cited first"
description: "All 787 papers of EMNLP 2020 · page 1 of 8, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2020/papers/"
---
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# EMNLP 2020: all accepted papers

787 papers · page 1 of 8 · the most cited first · [← EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/)

**1** [2](https://md.research.elamur.ai/free/en/venues/emnlp/2020/papers/page/2/) … [8](https://md.research.elamur.ai/free/en/venues/emnlp/2020/papers/page/8/) [next →](https://md.research.elamur.ai/free/en/venues/emnlp/2020/papers/page/2/)

1. **[Transformers: State-of-the-Art Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/)**Thomas Wolf, Lysandre Debut, Victor Sanh et al. · System Demonstrations · 🏆 Honorable Demonstration Paper*8,292 citations · our summary*
2. **[Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/)**Vladimir Karpukhin, Barlas Oguz, Sewon Min et al.*3,387 citations · our summary*
3. **[AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts](https://md.research.elamur.ai/free/en/papers/shin-2020-autoprompt-eliciting-knowledge-language-models/)**Taylor Shin, Yasaman Razeghi, Robert L. Logan IV et al.*1,234 citations · our summary*
4. **[BERTweet: A pre-trained language model for English Tweets](https://md.research.elamur.ai/free/en/papers/nguyen-2020-bertweet-pre-trained-language-model/)**Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen · System Demonstrations*843 citations · our summary*
5. **[Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/reimers-2020-making-monolingual-sentence-embeddings-multilingual/)**Nils Reimers, Iryna Gurevych*816 citations · our summary*
6. **[Generating Radiology Reports via Memory-driven Transformer](https://md.research.elamur.ai/free/en/papers/chen-2020-generating-radiology-reports-memory-driven/)**Zhihong Chen, Yan Song, Tsung-Hui Chang et al.*648 citations · our summary*
7. **[Evaluating the Factual Consistency of Abstractive Text Summarization ↗](https://aclanthology.org/2020.emnlp-main.750/)**Wojciech Kryscinski, Bryan McCann, Caiming Xiong et al.*646 citations*
8. **[How Much Knowledge Can You Pack Into the Parameters of a Language Model? ↗](https://aclanthology.org/2020.emnlp-main.437/)**Adam Roberts, Colin Raffel, Noam Shazeer*623 citations*
9. **[COMET: A Neural Framework for MT Evaluation](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/)**Ricardo Rei, Craig Stewart, Ana C Farinha et al.*617 citations · our summary*
10. **[LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention ↗](https://aclanthology.org/2020.emnlp-main.523/)**Ikuya Yamada, Akari Asai, Hiroyuki Shindo et al.*590 citations*
11. **[BERT-ATTACK: Adversarial Attack Against BERT Using BERT](https://md.research.elamur.ai/free/en/papers/li-2020-bert-attack-adversarial-attack-against/)**Linyang Li, Ruotian Ma, Qipeng Guo et al.*574 citations · our summary*
12. **[On the Sentence Embeddings from Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/)**Bohan Li, Hao Zhou, Junxian He et al.*572 citations · our summary*
13. **[TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP](https://md.research.elamur.ai/free/en/papers/morris-2020-textattack-framework-adversarial-attacks-data/)**John Morris, Eli Lifland, Jin Yong Yoo et al. · System Demonstrations*556 citations · our summary*
14. **[BAE: BERT-based Adversarial Examples for Text Classification](https://md.research.elamur.ai/free/en/papers/garg-2020-bae-bert-based-adversarial-examples/)**Siddhant Garg, Goutham Ramakrishnan*478 citations · our summary*
15. **[AdapterHub: A Framework for Adapting Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterhub-framework-adapting-transformers/)**Jonas Pfeiffer, Andreas Rücklé, Clifton Poth et al. · System Demonstrations*461 citations · our summary*
16. **[MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/)**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych et al.*437 citations · our summary*
17. **[CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models](https://md.research.elamur.ai/free/en/papers/nangia-2020-crows-pairs-challenge-dataset-measuring/)**Nikita Nangia, Clara Vania, Rasika Bhalerao et al.*418 citations · our summary*
18. **[Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs ↗](https://aclanthology.org/2020.emnlp-main.541/)**Woojeong Jin, Meng Qu, Xisen Jin et al.*409 citations*
19. **[Event Extraction by Answering (Almost) Natural Questions](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/)**Xinya Du, Claire Cardie*406 citations · our summary*
20. **[HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training](https://md.research.elamur.ai/free/en/papers/li-2020-hero-hierarchical-encoder-video-language/)**Linjie Li, Yen-Chun Chen, Yu Cheng et al.*403 citations · our summary*
21. **[Scalable Zero-shot Entity Linking with Dense Entity Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2020-scalable-zero-shot-entity-linking/)**Ledell Wu, Fabio Petroni, Martin Josifoski et al.*376 citations · our summary*
22. **[Fact or Fiction: Verifying Scientific Claims](https://md.research.elamur.ai/free/en/papers/wadden-2020-fact-or-fiction-verifying-scientific/)**David Wadden, Shanchuan Lin, Kyle Lo et al.*372 citations · our summary*
23. **[Event Extraction as Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/liu-2020-event-extraction-as-machine-reading/)**Jian Liu, Yubo Chen, Kang Liu et al.*303 citations · our summary*
24. **[Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics ↗](https://aclanthology.org/2020.emnlp-main.746/)**Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie et al.*283 citations*
25. **[Experience Grounds Language](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)**Yonatan Bisk, Ari Holtzman, Jesse Thomason et al.*274 citations · our summary*
26. **[Position-Aware Tagging for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2020-position-aware-tagging-aspect-sentiment/)**Lu Xu, Hao Li, Wei Lu et al.*273 citations · our summary*
27. **[ETC: Encoding Long and Structured Inputs in Transformers](https://md.research.elamur.ai/free/en/papers/ainslie-2020-etc-encoding-long-structured-inputs/)**Joshua Ainslie, Santiago Ontañón, Chris Alberti et al.*268 citations · our summary*
28. **[A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support](https://md.research.elamur.ai/free/en/papers/sharma-2020-computational-approach-understanding-empathy-expressed/)**Ashish Sharma, Adam Miner, David Atkins et al.*255 citations · our summary*
29. **[Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis ↗](https://aclanthology.org/2020.emnlp-main.286/)**Mi Zhang, Tieyun Qian*254 citations*
30. **[Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding ↗](https://aclanthology.org/2020.emnlp-main.356/)**Alexander Ku, Peter Anderson, Roma Patel et al.*253 citations*
31. **[Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT](https://md.research.elamur.ai/free/en/papers/smit-2020-combining-automatic-labelers-expert-annotations/)**Akshay Smit, Saahil Jain, Pranav Rajpurkar et al.*250 citations · our summary*
32. **[Double Graph Based Reasoning for Document-level Relation Extraction](https://md.research.elamur.ai/free/en/papers/zeng-2020-double-graph-based-reasoning-document/)**Shuang Zeng, Runxin Xu, Baobao Chang et al.*245 citations · our summary*
33. **[Be More with Less: Hypergraph Attention Networks for Inductive Text Classification ↗](https://aclanthology.org/2020.emnlp-main.399/)**Kaize Ding, Jianling Wang, Jundong Li et al.*243 citations*
34. **[ToTTo: A Controlled Table-To-Text Generation Dataset](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/)**Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann et al.*241 citations · our summary*
35. **[TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/)**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher et al.*237 citations · our summary*
36. **[From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/)**Anne Lauscher, Vinit Ravishankar, Ivan Vulić et al.*236 citations · our summary*
37. **[XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation](https://md.research.elamur.ai/free/en/papers/liang-2020-xglue-new-benchmark-dataset-cross/)**Yaobo Liang, Nan Duan, Yeyun Gong et al.*221 citations · our summary*
38. **[Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/)**Jue Wang, Wei Lu*216 citations · our summary*
39. **[Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations ↗](https://aclanthology.org/2020.emnlp-main.597/)**Taichi Ishiwatari, Yuki Yasuda, Taro Miyazaki et al.*209 citations*
40. **[Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)**Yanlin Feng, Xinyue Chen, Bill Yuchen Lin et al.*207 citations · our summary*
41. **[Calibration of Pre-trained Transformers ↗](https://aclanthology.org/2020.emnlp-main.21/)**Shrey Desai, Greg Durrett*205 citations*
42. **[Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/)**Yi Yang, Arzoo Katiyar*202 citations · our summary*
43. **[MIME: MIMicking Emotions for Empathetic Response Generation](https://md.research.elamur.ai/free/en/papers/majumder-2020-mime-mimicking-emotions-empathetic-response/)**Navonil Majumder, Pengfei Hong, Shanshan Peng et al.*196 citations · our summary*
44. **[Text Classification Using Label Names Only: A Language Model Self-Training Approach](https://md.research.elamur.ai/free/en/papers/meng-2020-text-classification-label-names-only/)**Yu Meng, Yunyi Zhang, Jiaxin Huang et al.*196 citations · our summary*
45. **[AmbigQA: Answering Ambiguous Open-domain Questions ↗](https://aclanthology.org/2020.emnlp-main.466/)**Sewon Min, Julian Michael, Hannaneh Hajishirzi et al.*190 citations*
46. **[Learning from Context or Names? An Empirical Study on Neural Relation Extraction](https://md.research.elamur.ai/free/en/papers/peng-2020-learning-context-or-names-empirical/)**Hao Peng, Tianyu Gao, Xu Han et al.*185 citations · our summary*
47. **[Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/)**Kalpesh Krishna, John Wieting, Mohit Iyyer*185 citations · our summary*
48. **[On Extractive and Abstractive Neural Document Summarization with Transformer Language Models](https://md.research.elamur.ai/free/en/papers/pilault-2020-extractive-abstractive-neural-document-summarization/)**Jonathan Pilault, Raymond Li, Sandeep Subramanian et al.*183 citations · our summary*
49. **[Probing Pretrained Language Models for Lexical Semantics](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/)**Ivan Vulić, Edoardo Maria Ponti, Robert Litschko et al.*180 citations · our summary*
50. **[Explainable Automated Fact-Checking for Public Health Claims](https://md.research.elamur.ai/free/en/papers/kotonya-2020-explainable-automated-fact-checking-public/)**Neema Kotonya, Francesca Toni*179 citations · our summary*
51. **[Unsupervised Commonsense Question Answering with Self-Talk ↗](https://aclanthology.org/2020.emnlp-main.373/)**Vered Shwartz, Peter West, Ronan Le Bras et al.*179 citations*
52. **[A Diagnostic Study of Explainability Techniques for Text Classification](https://md.research.elamur.ai/free/en/papers/atanasova-2020-diagnostic-study-explainability-techniques-text/)**Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma et al.*177 citations · our summary*
53. **[MedDialog: Large-scale Medical Dialogue Datasets](https://md.research.elamur.ai/free/en/papers/zeng-2020-meddialog-large-scale-medical-dialogue/)**Guangtao Zeng, Wenmian Yang, Zeqian Ju et al.*173 citations · our summary*
54. **[Hierarchical Graph Network for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/fang-2020-hierarchical-graph-network-multi-hop/)**Yuwei Fang, Siqi Sun, Zhe Gan et al.*171 citations · our summary*
55. **[Information-Theoretic Probing with Minimum Description Length](https://md.research.elamur.ai/free/en/papers/voita-2020-information-theoretic-probing-minimum-description/)**Elena Voita, Ivan Titov*170 citations · our summary*
56. **[Understanding the Difficulty of Training Transformers](https://md.research.elamur.ai/free/en/papers/liu-2020-understanding-difficulty-training-transformers/)**Liyuan Liu, Xiaodong Liu, Jianfeng Gao et al.*170 citations · our summary*
57. **[BERT-of-Theseus: Compressing BERT by Progressive Module Replacing](https://md.research.elamur.ai/free/en/papers/xu-2020-bert-theseus-compressing-bert-progressive/)**Canwen Xu, Wangchunshu Zhou, Tao Ge et al.*168 citations · our summary*
58. **[Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia ↗](https://aclanthology.org/2020.emnlp-demos.4/)**Ikuya Yamada, Akari Asai, Jin Sakuma et al. · System Demonstrations*164 citations*
59. **[Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations](https://md.research.elamur.ai/free/en/papers/allaway-2020-zero-shot-stance-detection-dataset/)**Emily Allaway, Kathleen McKeown*164 citations · our summary*
60. **[Coreferential Reasoning Learning for Language Representation](https://md.research.elamur.ai/free/en/papers/ye-2020-coreferential-reasoning-learning-language-representation/)**Deming Ye, Yankai Lin, Jiaju Du et al.*163 citations · our summary*
61. **[Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting ↗](https://aclanthology.org/2020.emnlp-main.634/)**Sanyuan Chen, Yutai Hou, Yiming Cui et al.*163 citations*
62. **[TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion ↗](https://aclanthology.org/2020.emnlp-main.462/)**Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung et al.*154 citations*
63. **[Knowledge-Grounded Dialogue Generation with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)**Xueliang Zhao, Wei Wu, Can Xu et al.*152 citations · our summary*
64. **[XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/ponti-2020-xcopa-multilingual-dataset-causal-commonsense/)**Edoardo Maria Ponti, Goran Glavaš, Olga Majewska et al.*152 citations · our summary*
65. **[COGS: A Compositional Generalization Challenge Based on Semantic Interpretation ↗](https://aclanthology.org/2020.emnlp-main.731/)**Najoung Kim, Tal Linzen*151 citations*
66. **[Active Learning for BERT: An Empirical Study ↗](https://aclanthology.org/2020.emnlp-main.638/)**Liat Ein-Dor, Alon Halfon, Ariel Gera et al.*149 citations*
67. **[Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/)**Emily Dinan, Angela Fan, Adina Williams et al.*149 citations · our summary*
68. **[Multilingual Offensive Language Identification with Cross-lingual Embeddings](https://md.research.elamur.ai/free/en/papers/ranasinghe-2020-multilingual-offensive-language-identification-cross/)**Tharindu Ranasinghe, Marcos Zampieri*148 citations · our summary*
69. **[TernaryBERT: Distillation-aware Ultra-low Bit BERT](https://md.research.elamur.ai/free/en/papers/zhang-2020-ternarybert-distillation-aware-ultra-low/)**Wei Zhang, Lu Hou, Yichun Yin et al.*148 citations · our summary*
70. **[MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/)**Xiaozhi Wang, Ziqi Wang, Xu Han et al.*147 citations · our summary*
71. **[Re-evaluating Evaluation in Text Summarization](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/)**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq et al.*147 citations · our summary*
72. **[Social Chemistry 101: Learning to Reason about Social and Moral Norms ↗](https://aclanthology.org/2020.emnlp-main.48/)**Maxwell Forbes, Jena D. Hwang, Vered Shwartz et al.*147 citations*
73. **[The Multilingual Amazon Reviews Corpus](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/)**Phillip Keung, Yichao Lu, György Szarvas et al.*146 citations · our summary*
74. **[MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/)**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata et al.*145 citations · our summary*
75. **[Attention is Not Only a Weight: Analyzing Transformers with Vector Norms](https://md.research.elamur.ai/free/en/papers/kobayashi-2020-attention-is-not-only-weight/)**Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi et al.*143 citations · our summary*
76. **[SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge ↗](https://aclanthology.org/2020.emnlp-main.567/)**Pei Ke, Haozhe Ji, Siyang Liu et al.*143 citations*
77. **[Cold-start Active Learning through Self-supervised Language Modeling ↗](https://aclanthology.org/2020.emnlp-main.637/)**Michelle Yuan, Hsuan-Tien Lin, Jordan Boyd-Graber*141 citations*
78. **[An Unsupervised Sentence Embedding Method by Mutual Information Maximization](https://md.research.elamur.ai/free/en/papers/zhang-2020-unsupervised-sentence-embedding-method-mutual/)**Yan Zhang, Ruidan He, Zuozhu Liu et al.*140 citations · our summary*
79. **[Utility is in the Eye of the User: A Critique of NLP Leaderboards ↗](https://aclanthology.org/2020.emnlp-main.393/)**Kawin Ethayarajh, Dan Jurafsky*140 citations*
80. **[MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering ↗](https://aclanthology.org/2020.emnlp-main.63/)**Tejas Gokhale, Pratyay Banerjee, Chitta Baral et al.*138 citations*
81. **[Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space](https://md.research.elamur.ai/free/en/papers/li-2020-optimus-organizing-sentences-pre-trained/)**Chunyuan Li, Xiang Gao, Yuan Li et al.*138 citations · our summary*
82. **[Inducing Target-Specific Latent Structures for Aspect Sentiment Classification ↗](https://aclanthology.org/2020.emnlp-main.451/)**Chenhua Chen, Zhiyang Teng, Yue Zhang*136 citations*
83. **[SLURP: A Spoken Language Understanding Resource Package](https://md.research.elamur.ai/free/en/papers/bastianelli-2020-slurp-spoken-language-understanding-resource/)**Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski et al.*136 citations · our summary*
84. **[Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! ↗](https://aclanthology.org/2020.emnlp-main.135/)**Suzanna Sia, Ayush Dalmia, Sabrina J. Mielke*134 citations*
85. **[Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations ↗](https://aclanthology.org/2020.emnlp-main.676/)**Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa et al.*133 citations*
86. **[The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models ↗](https://aclanthology.org/2020.emnlp-demos.15/)**Ian Tenney, James Wexler, Jasmijn Bastings et al. · System Demonstrations*133 citations*
87. **[DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/)**Bosheng Ding, Linlin Liu, Lidong Bing et al.*132 citations · our summary*
88. **[When BERT Plays the Lottery, All Tickets Are Winning ↗](https://aclanthology.org/2020.emnlp-main.259/)**Sai Prasanna, Anna Rogers, Anna Rumshisky*131 citations*
89. **[Entities as Experts: Sparse Memory Access with Entity Supervision](https://md.research.elamur.ai/free/en/papers/fevry-2020-entities-as-experts-sparse-memory/)**Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald et al.*130 citations · our summary*
90. **[Adaptive Attentional Network for Few-Shot Knowledge Graph Completion ↗](https://aclanthology.org/2020.emnlp-main.131/)**Jiawei Sheng, Shu Guo, Zhenyu Chen et al.*129 citations*
91. **[Global-to-Local Neural Networks for Document-Level Relation Extraction ↗](https://aclanthology.org/2020.emnlp-main.303/)**Difeng Wang, Wei Hu, Ermei Cao et al.*128 citations*
92. **[Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://md.research.elamur.ai/free/en/papers/thompson-2020-automatic-machine-translation-evaluation-many/)**Brian Thompson, Matt Post*127 citations · our summary*
93. **[Factual Error Correction for Abstractive Summarization Models](https://md.research.elamur.ai/free/en/papers/cao-2020-factual-error-correction-abstractive-summarization/)**Meng Cao, Yue Dong, Jiapeng Wu et al.*126 citations · our summary*
94. **[PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking ↗](https://aclanthology.org/2020.emnlp-main.349/)**Hannah Rashkin, Asli Celikyilmaz, Yejin Choi et al.*125 citations*
95. **[Training Question Answering Models From Synthetic Data](https://md.research.elamur.ai/free/en/papers/puri-2020-training-question-answering-models-synthetic/)**Raul Puri, Ryan Spring, Mohammad Shoeybi et al.*125 citations · our summary*
96. **[We Can Detect Your Bias: Predicting the Political Ideology of News Articles](https://md.research.elamur.ai/free/en/papers/baly-2020-we-can-detect-your-bias/)**Ramy Baly, Giovanni Da San Martino, James Glass et al.*125 citations · our summary*
97. **[Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering ↗](https://aclanthology.org/2020.emnlp-main.265/)**Zujie Liang, Weitao Jiang, Haifeng Hu et al.*124 citations*
98. **[FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction ↗](https://aclanthology.org/2020.emnlp-main.165/)**Dianbo Sui, Yubo Chen, Jun Zhao et al.*122 citations*
99. **[BioMegatron: Larger Biomedical Domain Language Model ↗](https://aclanthology.org/2020.emnlp-main.379/)**Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina et al.*121 citations*
100. **[PyMT5: multi-mode translation of natural language and Python code with transformers ↗](https://aclanthology.org/2020.emnlp-main.728/)**Colin Clement, Dawn Drain, Jonathan Timcheck et al.*120 citations*

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