---
title: "ACL 2020 — all accepted papers with summaries and citations"
description: "All 871 papers of ACL 2020 · page 1 of 9, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/acl/2020/papers/"
---
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# ACL 2020: all accepted papers

871 papers · page 1 of 9 · the most cited first · [← ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)

**1** [2](https://md.research.elamur.ai/free/en/venues/acl/2020/papers/page/2/) … [9](https://md.research.elamur.ai/free/en/venues/acl/2020/papers/page/9/) [next →](https://md.research.elamur.ai/free/en/venues/acl/2020/papers/page/2/)

1. **[BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension](https://md.research.elamur.ai/free/en/papers/lewis-2020-bart-denoising-sequence-sequence-pre/)**Mike Lewis, Yinhan Liu, Naman Goyal et al.*8,244 citations · our summary*
2. **[Unsupervised Cross-lingual Representation Learning at Scale ↗](https://aclanthology.org/2020.acl-main.747/)**Alexis Conneau, Kartikay Khandelwal, Naman Goyal et al.*5,335 citations*
3. **[Don't Stop Pretraining: Adapt Language Models to Domains and Tasks ↗](https://aclanthology.org/2020.acl-main.740/)**Suchin Gururangan, Ana Marasović, Swabha Swayamdipta et al. · 🏆 Honorable Mention for Best Overall Paper*1,992 citations*
4. **[Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://md.research.elamur.ai/free/en/papers/qi-2020-stanza-python-natural-language-processing/)**Peng Qi, Yuhao Zhang, Yuhui Zhang et al. · System Demonstrations*1,431 citations · our summary*
5. **[On Faithfulness and Factuality in Abstractive Summarization ↗](https://aclanthology.org/2020.acl-main.173/)**Joshua Maynez, Shashi Narayan, Bernd Bohnet et al.*1,118 citations*
6. **[DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation ↗](https://aclanthology.org/2020.acl-demos.30/)**Yizhe Zhang, Siqi Sun, Michel Galley et al. · System Demonstrations*1,046 citations*
7. **[Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data](https://md.research.elamur.ai/free/en/papers/bender-2020-climbing-nlu-meaning-form-understanding/)**Emily M. Bender, Alexander Koller · 🏆 Best Theme Paper*1,032 citations · our summary*
8. **[Language (Technology) is Power: A Critical Survey of “Bias” in NLP](https://md.research.elamur.ai/free/en/papers/blodgett-2020-language-technology-is-power-critical/)**Su Lin Blodgett, Solon Barocas, Hal Daumé III et al.*1,021 citations · our summary*
9. **[BLEURT: Learning Robust Metrics for Text Generation ↗](https://aclanthology.org/2020.acl-main.704/)**Thibault Sellam, Dipanjan Das, Ankur Parikh*961 citations*
10. **[Quantifying Attention Flow in Transformers](https://md.research.elamur.ai/free/en/papers/abnar-2020-quantifying-attention-flow-transformers/)**Samira Abnar, Willem Zuidema*923 citations · our summary*
11. **[Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ↗](https://aclanthology.org/2020.acl-main.442/)**Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin et al. · 🏆 Best Overall Paper*866 citations*
12. **[GoEmotions: A Dataset of Fine-Grained Emotions ↗](https://aclanthology.org/2020.acl-main.372/)**Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko et al.*804 citations*
13. **[CamemBERT: a Tasty French Language Model](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/)**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez et al.*754 citations · our summary*
14. **[MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices](https://md.research.elamur.ai/free/en/papers/sun-2020-mobilebert-compact-task-agnostic-bert/)**Zhiqing Sun, Hongkun Yu, Xiaodan Song et al.*739 citations · our summary*
15. **[The State and Fate of Linguistic Diversity and Inclusion in the NLP World](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/)**Pratik Joshi, Sebastin Santy, Amar Budhiraja et al.*734 citations · our summary*
16. **[Integrating Multimodal Information in Large Pretrained Transformers](https://md.research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/)**Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee et al.*673 citations · our summary*
17. **[Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/)**Kai Wang, Weizhou Shen, Yunyi Yang et al.*665 citations · our summary*
18. **[A Novel Cascade Binary Tagging Framework for Relational Triple Extraction](https://md.research.elamur.ai/free/en/papers/wei-2020-novel-cascade-binary-tagging-framework/)**Zhepei Wei, Jianlin Su, Yue Wang et al.*649 citations · our summary*
19. **[Dice Loss for Data-imbalanced NLP Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-dice-loss-data-imbalanced-nlp/)**Xiaoya Li, Xiaofei Sun, Yuxian Meng et al.*646 citations · our summary*
20. **[A Unified MRC Framework for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/li-2020-unified-mrc-framework-named-entity/)**Xiaoya Li, Jingrong Feng, Yuxian Meng et al.*644 citations · our summary*
21. **[Adversarial NLI: A New Benchmark for Natural Language Understanding ↗](https://aclanthology.org/2020.acl-main.441/)**Yixin Nie, Adina Williams, Emily Dinan et al.*637 citations*
22. **[On the Cross-lingual Transferability of Monolingual Representations](https://md.research.elamur.ai/free/en/papers/artetxe-2020-cross-lingual-transferability-monolingual-representations/)**Mikel Artetxe, Sebastian Ruder, Dani Yogatama*598 citations · our summary*
23. **[ERASER: A Benchmark to Evaluate Rationalized NLP Models](https://md.research.elamur.ai/free/en/papers/deyoung-2020-eraser-benchmark-evaluate-rationalized-nlp/)**Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani et al.*540 citations · our summary*
24. **[TaPas: Weakly Supervised Table Parsing via Pre-training](https://md.research.elamur.ai/free/en/papers/herzig-2020-tapas-weakly-supervised-table-parsing/)**Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller et al.*535 citations · our summary*
25. **[RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers](https://md.research.elamur.ai/free/en/papers/wang-2020-rat-sql-relation-aware-schema/)**Bailin Wang, Richard Shin, Xiaodong Liu et al.*512 citations · our summary*
26. **[Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/)**Apoorv Saxena, Aditay Tripathi, Partha Talukdar*505 citations · our summary*
27. **[MIND: A Large-scale Dataset for News Recommendation](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/)**Fangzhao Wu, Ying Qiao, Jiun-Hung Chen et al.*487 citations · our summary*
28. **[Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/)**Alon Jacovi, Yoav Goldberg*480 citations · our summary*
29. **[SPECTER: Document-level Representation Learning using Citation-informed Transformers](https://md.research.elamur.ai/free/en/papers/cohan-2020-specter-document-level-representation-learning/)**Arman Cohan, Sergey Feldman, Iz Beltagy et al.*475 citations · our summary*
30. **[TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/)**Pengcheng Yin, Graham Neubig, Wen-tau Yih et al.*475 citations · our summary*
31. **[Named Entity Recognition as Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/)**Juntao Yu, Bernd Bohnet, Massimo Poesio*458 citations · our summary*
32. **[FLAT: Chinese NER Using Flat-Lattice Transformer](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/)**Xiaonan Li, Hang Yan, Xipeng Qiu et al.*441 citations · our summary*
33. **[CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality](https://md.research.elamur.ai/free/en/papers/yu-2020-ch-sims-chinese-multimodal-sentiment/)**Wenmeng Yu, Hua Xu, Fanyang Meng et al.*440 citations · our summary*
34. **[S2ORC: The Semantic Scholar Open Research Corpus ↗](https://aclanthology.org/2020.acl-main.447/)**Kyle Lo, Lucy Lu Wang, Mark Neumann et al.*434 citations*
35. **[Extractive Summarization as Text Matching](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/)**Ming Zhong, Pengfei Liu, Yiran Chen et al.*413 citations · our summary*
36. **[GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media](https://md.research.elamur.ai/free/en/papers/lu-2020-gcan-graph-aware-co-attention/)**Yi-Ju Lu, Cheng-Te Li*405 citations · our summary*
37. **[Multilingual Universal Sentence Encoder for Semantic Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2020-multilingual-universal-sentence-encoder-semantic/)**Yinfei Yang, Daniel Cer, Amin Ahmad et al. · System Demonstrations*399 citations · our summary*
38. **[MLQA: Evaluating Cross-lingual Extractive Question Answering](https://md.research.elamur.ai/free/en/papers/lewis-2019-mlqa-evaluating-cross-lingual-extractive/)**Patrick Lewis, Barlas Oguz, Ruty Rinott et al.*387 citations · our summary*
39. **[A Joint Neural Model for Information Extraction with Global Features](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/)**Ying Lin, Heng Ji, Fei Huang et al.*383 citations · our summary*
40. **[A Transformer-based Approach for Source Code Summarization ↗](https://aclanthology.org/2020.acl-main.449/)**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray et al.*378 citations*
41. **[How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/)**Haoxi Zhong, Chaojun Xiao, Cunchao Tu et al.*367 citations · our summary*
42. **[Low-Dimensional Hyperbolic Knowledge Graph Embeddings](https://md.research.elamur.ai/free/en/papers/chami-2020-low-dimensional-hyperbolic-knowledge-graph/)**Ines Chami, Adva Wolf, Da-Cheng Juan et al.*363 citations · our summary*
43. **[MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification](https://md.research.elamur.ai/free/en/papers/chen-2020-mixtext-linguistically-informed-interpolation-hidden/)**Jiaao Chen, Zichao Yang, Diyi Yang*347 citations · our summary*
44. **[Asking and Answering Questions to Evaluate the Factual Consistency of Summaries ↗](https://aclanthology.org/2020.acl-main.450/)**Alex Wang, Kyunghyun Cho, Mike Lewis*346 citations*
45. **[Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification](https://md.research.elamur.ai/free/en/papers/tang-2020-dependency-graph-enhanced-dual-transformer/)**Hao Tang, Donghong Ji, Chenliang Li et al.*344 citations · our summary*
46. **[Weight Poisoning Attacks on Pretrained Models](https://md.research.elamur.ai/free/en/papers/kurita-2020-weight-poisoning-attacks-pretrained-models/)**Keita Kurita, Paul Michel, Graham Neubig*340 citations · our summary*
47. **[Social Bias Frames: Reasoning about Social and Power Implications of Language](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/)**Maarten Sap, Saadia Gabriel, Lianhui Qin et al.*332 citations · our summary*
48. **[DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference](https://md.research.elamur.ai/free/en/papers/xin-2020-deebert-dynamic-early-exiting-accelerating/)**Ji Xin, Raphael Tang, Jaejun Lee et al.*329 citations · our summary*
49. **[Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks ↗](https://aclanthology.org/2020.acl-main.31/)**Yufeng Zhang, Xueli Yu, Zeyu Cui et al.*317 citations*
50. **[Reasoning with Latent Structure Refinement for Document-Level Relation Extraction](https://md.research.elamur.ai/free/en/papers/nan-2020-reasoning-latent-structure-refinement-document/)**Guoshun Nan, Zhijiang Guo, Ivan Sekulic et al.*305 citations · our summary*
51. **[Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/)**Dan Hendrycks, Xiaoyuan Liu, Eric Wallace et al.*298 citations · our summary*
52. **[Span-based Localizing Network for Natural Language Video Localization ↗](https://aclanthology.org/2020.acl-main.585/)**Hao Zhang, Aixin Sun, Wei Jing et al.*297 citations*
53. **[Simplify the Usage of Lexicon in Chinese NER ↗](https://aclanthology.org/2020.acl-main.528/)**Ruotian Ma, Minlong Peng, Qi Zhang et al.*294 citations*
54. **[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/)**Danqing Wang, Pengfei Liu, Yining Zheng et al.*285 citations · our summary*
55. **[Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer](https://md.research.elamur.ai/free/en/papers/yu-2020-improving-multimodal-named-entity-recognition/)**Jianfei Yu, Jing Jiang, Li Yang et al.*281 citations · our summary*
56. **[SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/tian-2020-skep-sentiment-knowledge-enhanced-pre/)**Hao Tian, Can Gao, Xinyan Xiao et al.*272 citations · our summary*
57. **[Social Biases in NLP Models as Barriers for Persons with Disabilities](https://md.research.elamur.ai/free/en/papers/hutchinson-2020-social-biases-nlp-models-as/)**Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton et al.*268 citations · our summary*
58. **[FastBERT: a Self-distilling BERT with Adaptive Inference Time](https://md.research.elamur.ai/free/en/papers/liu-2020-fastbert-self-distilling-bert-adaptive/)**Weijie Liu, Peng Zhou, Zhiruo Wang et al.*263 citations · our summary*
59. **[Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection](https://md.research.elamur.ai/free/en/papers/ravfogel-2020-null-it-out-guarding-protected/)**Shauli Ravfogel, Yanai Elazar, Hila Gonen et al.*263 citations · our summary*
60. **[Discourse-Aware Neural Extractive Text Summarization](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/)**Jiacheng Xu, Zhe Gan, Yu Cheng et al.*260 citations · our summary*
61. **[Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?](https://md.research.elamur.ai/free/en/papers/hase-2020-evaluating-explainable-ai-which-algorithmic/)**Peter Hase, Mohit Bansal*246 citations · our summary*
62. **[Automatic Detection of Generated Text is Easiest when Humans are Fooled](https://md.research.elamur.ai/free/en/papers/ippolito-2019-automatic-detection-generated-text-easiest/)**Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch et al.*243 citations · our summary*
63. **[HAT: Hardware-Aware Transformers for Efficient Natural Language Processing](https://md.research.elamur.ai/free/en/papers/wang-2020-hat-hardware-aware-transformers-efficient/)**Hanrui Wang, Zhanghao Wu, Zhijian Liu et al.*225 citations · our summary*
64. **[Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly](https://md.research.elamur.ai/free/en/papers/kassner-2020-negated-misprimed-probes-pretrained-language/)**Nora Kassner, Hinrich Schütze*223 citations · our summary*
65. **[PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable](https://md.research.elamur.ai/free/en/papers/bao-2020-plato-pre-trained-dialogue-generation/)**Siqi Bao, Huang He, Fan Wang et al.*220 citations · our summary*
66. **[BPE-Dropout: Simple and Effective Subword Regularization](https://md.research.elamur.ai/free/en/papers/provilkov-2020-bpe-dropout-simple-effective-subword/)**Ivan Provilkov, Dmitrii Emelianenko, Elena Voita*218 citations · our summary*
67. **[Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/)**Biao Zhang, Philip Williams, Ivan Titov et al.*215 citations · our summary*
68. **[Spelling Error Correction with Soft-Masked BERT](https://md.research.elamur.ai/free/en/papers/zhang-2020-spelling-error-correction-soft-masked/)**Shaohua Zhang, Haoran Huang, Jicong Liu et al.*215 citations · our summary*
69. **[GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples ↗](https://aclanthology.org/2020.acl-main.191/)**Danilo Croce, Giuseppe Castellucci, Roberto Basili*202 citations*
70. **[Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases ↗](https://aclanthology.org/2020.acl-main.91/)**Yunshi Lan, Jing Jiang*202 citations*
71. **[Emerging Cross-lingual Structure in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/conneau-2020-emerging-cross-lingual-structure-pretrained/)**Alexis Conneau, Shijie Wu, Haoran Li et al.*196 citations · our summary*
72. **[Word-level Textual Adversarial Attacking as Combinatorial Optimization](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/)**Yuan Zang, Fanchao Qi, Chenghao Yang et al.*195 citations · our summary*
73. **[Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/2020.acl-main.293/)**Minh Hieu Phan, Philip O. Ogunbona*194 citations*
74. **[Hierarchy-Aware Global Model for Hierarchical Text Classification ↗](https://aclanthology.org/2020.acl-main.104/)**Jie Zhou, Chunping Ma, Dingkun Long et al.*193 citations*
75. **[Masked Language Model Scoring](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/)**Julian Salazar, Davis Liang, Toan Q. Nguyen et al.*191 citations · our summary*
76. **[Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/chen-2020-relation-aware-collaborative-learning-unified/)**Zhuang Chen, Tieyun Qian*187 citations · our summary*
77. **[Efficient Dialogue State Tracking by Selectively Overwriting Memory](https://md.research.elamur.ai/free/en/papers/kim-2020-efficient-dialogue-state-tracking-selectively/)**Sungdong Kim, Sohee Yang, Gyuwan Kim et al.*186 citations · our summary*
78. **[Fine-grained Fact Verification with Kernel Graph Attention Network](https://md.research.elamur.ai/free/en/papers/liu-2020-fine-grained-fact-verification-kernel/)**Zhenghao Liu, Chenyan Xiong, Maosong Sun et al.*183 citations · our summary*
79. **[TVQA+: Spatio-Temporal Grounding for Video Question Answering ↗](https://aclanthology.org/2020.acl-main.730/)**Jie Lei, Licheng Yu, Tamara Berg et al.*183 citations*
80. **[Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network](https://md.research.elamur.ai/free/en/papers/hou-2020-few-shot-slot-tagging-collapsed/)**Yutai Hou, Wanxiang Che, Yongkui Lai et al.*182 citations · our summary*
81. **[Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/)**Nitika Mathur, Timothy Baldwin, Trevor Cohn · 🏆 Honorable Mention for Best Overall Paper*182 citations · our summary*
82. **[Good-Enough Compositional Data Augmentation](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/)**Jacob Andreas*175 citations · our summary*
83. **[Unsupervised Domain Clusters in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/aharoni-2020-unsupervised-domain-clusters-pretrained-language/)**Roee Aharoni, Yoav Goldberg*175 citations · our summary*
84. **[Pyramid: A Layered Model for Nested Named Entity Recognition ↗](https://aclanthology.org/2020.acl-main.525/)**Jue Wang, Lidan Shou, Ke Chen et al.*174 citations*
85. **[Distinguish Confusing Law Articles for Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/xu-2020-distinguish-confusing-law-articles-legal/)**Nuo Xu, Pinghui Wang, Long Chen et al.*172 citations · our summary*
86. **[Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/)**Nan Xu, Zhixiong Zeng, Wenji Mao*172 citations · our summary*
87. **[Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills](https://md.research.elamur.ai/free/en/papers/smith-2020-can-you-put-it-all/)**Eric Michael Smith, Mary Williamson, Kurt Shuster et al.*170 citations · our summary*
88. **[MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ↗](https://aclanthology.org/2020.acl-main.233/)**Jie Lei, Liwei Wang, Yelong Shen et al.*170 citations*
89. **[SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction ↗](https://aclanthology.org/2020.acl-main.296/)**He Zhao, Longtao Huang, Rong Zhang et al.*169 citations*
90. **[Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ↗](https://aclanthology.org/2020.acl-main.370/)**Chunning Du, Haifeng Sun, Jingyu Wang et al.*168 citations*
91. **[Towards Conversational Recommendation over Multi-Type Dialogs](https://md.research.elamur.ai/free/en/papers/liu-2020-conversational-recommendation-over-multi-type/)**Zeming Liu, Haifeng Wang, Zheng-Yu Niu et al.*168 citations · our summary*
92. **[Injecting Numerical Reasoning Skills into Language Models](https://md.research.elamur.ai/free/en/papers/geva-2020-injecting-numerical-reasoning-skills-into/)**Mor Geva, Ankit Gupta, Jonathan Berant*162 citations · our summary*
93. **[Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?](https://md.research.elamur.ai/free/en/papers/pruksachatkun-2020-intermediate-task-transfer-learning-pretrained/)**Yada Pruksachatkun, Jason Phang, Haokun Liu et al.*162 citations · our summary*
94. **[SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/)**Haoming Jiang, Pengcheng He, Weizhu Chen et al.*162 citations · our summary*
95. **[SenseBERT: Driving Some Sense into BERT](https://md.research.elamur.ai/free/en/papers/levine-2020-sensebert-driving-some-sense-into/)**Yoav Levine, Barak Lenz, Or Dagan et al.*162 citations · our summary*
96. **[End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2](https://md.research.elamur.ai/free/en/papers/ham-2020-end-end-neural-pipeline-goal/)**Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang et al.*161 citations · our summary*
97. **[Information-Theoretic Probing for Linguistic Structure](https://md.research.elamur.ai/free/en/papers/pimentel-2020-information-theoretic-probing-linguistic-structure/)**Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay et al.*160 citations · our summary*
98. **[Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports](https://md.research.elamur.ai/free/en/papers/zhang-2020-optimizing-factual-correctness-summary-study/)**Yuhao Zhang, Derek Merck, Emily Tsai et al.*160 citations · our summary*
99. **[Curriculum Learning for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/xu-2020-curriculum-learning-natural-language-understanding/)**Benfeng Xu, Licheng Zhang, Zhendong Mao et al.*158 citations · our summary*
100. **[Learning to Deceive with Attention-Based Explanations](https://md.research.elamur.ai/free/en/papers/pruthi-2020-learning-deceive-attention-based-explanations/)**Danish Pruthi, Mansi Gupta, Bhuwan Dhingra et al.*157 citations · our summary*

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