---
title: "NAACL 2021 — all accepted papers — the most cited first"
description: "All 560 papers of NAACL 2021 · page 1 of 6, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/naacl/2021/papers/"
---
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# NAACL 2021: all accepted papers

560 papers · page 1 of 6 · the most cited first · [← NAACL 2021](https://md.research.elamur.ai/free/en/venues/naacl/2021/)

**1** [2](https://md.research.elamur.ai/free/en/venues/naacl/2021/papers/page/2/) … [6](https://md.research.elamur.ai/free/en/venues/naacl/2021/papers/page/6/) [next →](https://md.research.elamur.ai/free/en/venues/naacl/2021/papers/page/2/)

1. **[mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer](https://md.research.elamur.ai/free/en/papers/xue-2021-mt5-massively-multilingual-pre-trained/)**Linting Xue, Noah Constant, Adam Roberts et al.*1,621 citations · our summary*
2. **[It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners](https://md.research.elamur.ai/free/en/papers/schick-2021-it-s-not-just-size/)**Timo Schick, Hinrich Schütze · 🏆 Outstanding Long Paper*685 citations · our summary*
3. **[Unified Pre-training for Program Understanding and Generation](https://md.research.elamur.ai/free/en/papers/ahmad-2021-unified-pre-training-program-understanding/)**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray et al.*608 citations · our summary*
4. **[QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering ↗](https://aclanthology.org/2021.naacl-main.45/)**Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut et al.*522 citations*
5. **[A Frustratingly Easy Approach for Entity and Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/)**Zexuan Zhong, Danqi Chen*477 citations · our summary*
6. **[RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/)**Yingqi Qu, Yuchen Ding, Jing Liu et al.*356 citations · our summary*
7. **[KILT: a Benchmark for Knowledge Intensive Language Tasks](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/)**Fabio Petroni, Aleksandra Piktus, Angela Fan et al.*339 citations · our summary*
8. **[Self-Alignment Pretraining for Biomedical Entity Representations](https://md.research.elamur.ai/free/en/papers/liu-2021-self-alignment-pretraining-biomedical-entity/)**Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng et al.*335 citations · our summary*
9. **[Learning How to Ask: Querying LMs with Mixtures of Soft Prompts](https://md.research.elamur.ai/free/en/papers/qin-2021-learning-ask-querying-lms-mixtures/)**Guanghui Qin, Jason Eisner · 🏆 Best Short Paper*328 citations · our summary*
10. **[Are NLP Models really able to Solve Simple Math Word Problems?](https://md.research.elamur.ai/free/en/papers/patel-2021-are-nlp-models-really-able/)**Arkil Patel, Satwik Bhattamishra, Navin Goyal*290 citations · our summary*
11. **[A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/)**Michael A. Hedderich, Lukas Lange, Heike Adel et al.*260 citations · our summary*
12. **[Factual Probing Is MASK: Learning vs. Learning to Recall](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/)**Zexuan Zhong, Dan Friedman, Danqi Chen*260 citations · our summary*
13. **[Document-Level Event Argument Extraction by Conditional Generation](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/)**Sha Li, Heng Ji, Jiawei Han*254 citations · our summary*
14. **[InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training ↗](https://aclanthology.org/2021.naacl-main.280/)**Zewen Chi, Li Dong, Furu Wei et al.*249 citations*
15. **[Dynabench: Rethinking Benchmarking in NLP ↗](https://aclanthology.org/2021.naacl-main.324/)**Douwe Kiela, Max Bartolo, Yixin Nie et al.*229 citations*
16. **[GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/)**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi et al.*200 citations · our summary*
17. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*190 citations · our summary*
18. **[Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble ↗](https://aclanthology.org/2021.naacl-main.231/)**Yuanhe Tian, Guimin Chen, Yan Song*187 citations*
19. **[COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List](https://md.research.elamur.ai/free/en/papers/gao-2021-coil-revisit-exact-lexical-match/)**Luyu Gao, Zhuyun Dai, Jamie Callan*186 citations · our summary*
20. **[Supporting Clustering with Contrastive Learning](https://md.research.elamur.ai/free/en/papers/zhang-2021-supporting-clustering-contrastive-learning/)**Dejiao Zhang, Feng Nan, Xiaokai Wei et al.*185 citations · our summary*
21. **[How many data points is a prompt worth?](https://md.research.elamur.ai/free/en/papers/scao-2021-how-many-data-points-is/)**Teven Le Scao, Alexander Rush · 🏆 Outstanding Short Paper*179 citations · our summary*
22. **[Contextualized Perturbation for Textual Adversarial Attack](https://md.research.elamur.ai/free/en/papers/li-2021-contextualized-perturbation-textual-adversarial-attack/)**Dianqi Li, Yizhe Zhang, Hao Peng et al.*178 citations · our summary*
23. **[Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks](https://md.research.elamur.ai/free/en/papers/thakur-2021-augmented-sbert-data-augmentation-method/)**Nandan Thakur, Nils Reimers, Johannes Daxenberger et al.*176 citations · our summary*
24. **[QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/)**Ming Zhong, Da Yin, Tao Yu et al.*174 citations · our summary*
25. **[Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa ↗](https://aclanthology.org/2021.naacl-main.146/)**Junqi Dai, Hang Yan, Tianxiang Sun et al.*163 citations*
26. **[Efficient Attentions for Long Document Summarization](https://md.research.elamur.ai/free/en/papers/huang-2021-efficient-attentions-long-document-summarization/)**Luyang Huang, Shuyang Cao, Nikolaus Parulian et al.*143 citations · our summary*
27. **[Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation ↗](https://aclanthology.org/2021.naacl-main.416/)**Yasuhide Miura, Yuhao Zhang, Emily Tsai et al.*138 citations*
28. **[Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training](https://md.research.elamur.ai/free/en/papers/agarwal-2021-knowledge-graph-based-synthetic-corpus/)**Oshin Agarwal, Heming Ge, Siamak Shakeri et al.*136 citations · our summary*
29. **[A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/)**Pradeep Dasigi, Kyle Lo, Iz Beltagy et al.*135 citations · our summary*
30. **[The Curious Case of Hallucinations in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/raunak-2021-curious-case-hallucinations-neural-machine/)**Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt*128 citations · our summary*
31. **[UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus ↗](https://aclanthology.org/2021.naacl-main.139/)**George Michalopoulos, Yuanxin Wang, Hussam Kaka et al.*125 citations*
32. **[Open-Domain Question Answering Goes Conversational via Question Rewriting](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/)**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu et al.*123 citations · our summary*
33. **[TABBIE: Pretrained Representations of Tabular Data](https://md.research.elamur.ai/free/en/papers/iida-2021-tabbie-pretrained-representations-tabular-data/)**Hiroshi Iida, Dung Thai, Varun Manjunatha et al.*123 citations · our summary*
34. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/)**Dirk Hovy, Diyi Yang*122 citations · our summary*
35. **[COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ↗](https://aclanthology.org/2021.naacl-demos.8/)**Qingyun Wang, Manling Li, Xuan Wang et al. · Demonstrations · 🏆 Best Demo Paper*121 citations*
36. **[Enhancing Factual Consistency of Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/zhu-2021-enhancing-factual-consistency-abstractive-summarization/)**Chenguang Zhu, William Hinthorn, Ruochen Xu et al.*121 citations · our summary*
37. **[Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/)**Tal Schuster, Adam Fisch, Regina Barzilay*120 citations · our summary*
38. **[XOR QA: Cross-lingual Open-Retrieval Question Answering](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/)**Akari Asai, Jungo Kasai, Jonathan Clark et al.*110 citations · our summary*
39. **[Hurdles to Progress in Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/)**Kalpesh Krishna, Aurko Roy, Mohit Iyyer*109 citations · our summary*
40. **[Concealed Data Poisoning Attacks on NLP Models ↗](https://aclanthology.org/2021.naacl-main.13/)**Eric Wallace, Tony Zhao, Shi Feng et al.*108 citations*
41. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/)**Jingfei Du, Edouard Grave, Beliz Gunel et al.*106 citations · our summary*
42. **[Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings ↗](https://aclanthology.org/2021.naacl-main.202/)**Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri et al.*104 citations*
43. **[Annotating and Modeling Fine-grained Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/)**Tanya Goyal, Greg Durrett*99 citations · our summary*
44. **[Robustness Gym: Unifying the NLP Evaluation Landscape ↗](https://aclanthology.org/2021.naacl-demos.6/)**Karan Goel, Nazneen Fatema Rajani, Jesse Vig et al. · Demonstrations*98 citations*
45. **[What Will it Take to Fix Benchmarking in Natural Language Understanding? ↗](https://aclanthology.org/2021.naacl-main.385/)**Samuel R. Bowman, George Dahl*95 citations*
46. **[Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? ↗](https://aclanthology.org/2021.naacl-main.73/)**Eric Lehman, Sarthak Jain, Karl Pichotta et al.*93 citations*
47. **[MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences ↗](https://aclanthology.org/2021.naacl-main.79/)**Jianing Yang, Yongxin Wang, Ruitao Yi et al.*93 citations*
48. **[Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach ↗](https://aclanthology.org/2021.naacl-main.84/)**Yue Yu, Simiao Zuo, Haoming Jiang et al.*92 citations*
49. **[HONEST: Measuring Hurtful Sentence Completion in Language Models](https://md.research.elamur.ai/free/en/papers/nozza-2021-honest-measuring-hurtful-sentence-completion/)**Debora Nozza, Federico Bianchi, Dirk Hovy*91 citations · our summary*
50. **[ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning](https://md.research.elamur.ai/free/en/papers/chen-2021-zs-bert-zero-shot-relation/)**Chih-Yao Chen, Cheng-Te Li*91 citations · our summary*
51. **[MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/zhu-2021-mediasum-large-scale-media-interview/)**Chenguang Zhu, Yang Liu, Jie Mei et al.*90 citations · our summary*
52. **[SmBoP: Semi-autoregressive Bottom-up Semantic Parsing ↗](https://aclanthology.org/2021.naacl-main.29/)**Ohad Rubin, Jonathan Berant*90 citations*
53. **[Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models](https://md.research.elamur.ai/free/en/papers/yang-2021-be-careful-about-poisoned-word/)**Wenkai Yang, Lei Li, Zhiyuan Zhang et al.*88 citations · our summary*
54. **[LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval ↗](https://aclanthology.org/2021.naacl-main.77/)**Siqi Sun, Yen-Chun Chen, Linjie Li et al.*87 citations*
55. **[Structure-Grounded Pretraining for Text-to-SQL](https://md.research.elamur.ai/free/en/papers/deng-2021-structure-grounded-pretraining-text-sql/)**Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek et al.*86 citations · our summary*
56. **[Multimodal End-to-End Sparse Model for Emotion Recognition ↗](https://aclanthology.org/2021.naacl-main.417/)**Wenliang Dai, Samuel Cahyawijaya, Zihan Liu et al.*84 citations*
57. **[Adversarial Learning for Zero-Shot Stance Detection on Social Media](https://md.research.elamur.ai/free/en/papers/allaway-2021-adversarial-learning-zero-shot-stance/)**Emily Allaway, Malavika Srikanth, Kathleen McKeown*83 citations · our summary*
58. **[Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection](https://md.research.elamur.ai/free/en/papers/chen-2021-improving-faithfulness-abstractive-summarization-contrast/)**Sihao Chen, Fan Zhang, Kazoo Sone et al.*83 citations · our summary*
59. **[Knowledge Enhanced Masked Language Model for Stance Detection](https://md.research.elamur.ai/free/en/papers/kawintiranon-2021-knowledge-enhanced-masked-language-model/)**Kornraphop Kawintiranon, Lisa Singh*82 citations · our summary*
60. **[DART: Open-Domain Structured Data Record to Text Generation ↗](https://aclanthology.org/2021.naacl-main.37/)**Linyong Nan, Dragomir Radev, Rui Zhang et al.*81 citations*
61. **[Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs](https://md.research.elamur.ai/free/en/papers/chen-2021-structure-aware-abstractive-conversation-summarization/)**Jiaao Chen, Diyi Yang*81 citations · our summary*
62. **[Introducing CAD: the Contextual Abuse Dataset](https://md.research.elamur.ai/free/en/papers/vidgen-2021-introducing-cad-contextual-abuse-dataset/)**Bertie Vidgen, Dong Nguyen, Helen Margetts et al.*80 citations · our summary*
63. **[Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/)**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*78 citations · our summary*
64. **[Open Domain Question Answering over Tables via Dense Retrieval](https://md.research.elamur.ai/free/en/papers/herzig-2021-open-domain-question-answering-over/)**Jonathan Herzig, Thomas Müller, Syrine Krichene et al.*78 citations · our summary*
65. **[Paragraph-level Simplification of Medical Texts](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/)**Ashwin Devaraj, Iain Marshall, Byron Wallace et al.*76 citations · our summary*
66. **[Representing Numbers in NLP: a Survey and a Vision ↗](https://aclanthology.org/2021.naacl-main.53/)**Avijit Thawani, Jay Pujara, Filip Ilievski et al.*75 citations*
67. **[Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/)**Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis et al.*74 citations · our summary*
68. **[MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories ↗](https://aclanthology.org/2021.naacl-main.141/)**Minjin Choi, Sunkyung Lee, Eunseong Choi et al.*72 citations*
69. **[Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction ↗](https://aclanthology.org/2021.naacl-main.4/)**Zixuan Zhang, Heng Ji*71 citations*
70. **[Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures ↗](https://aclanthology.org/2021.naacl-main.273/)**Minh Tran Phu, Thien Huu Nguyen*71 citations*
71. **[Towards Few-shot Fact-Checking via Perplexity ↗](https://aclanthology.org/2021.naacl-main.158/)**Nayeon Lee, Yejin Bang, Andrea Madotto et al.*71 citations*
72. **[Continual Learning for Text Classification with Information Disentanglement Based Regularization ↗](https://aclanthology.org/2021.naacl-main.218/)**Yufan Huang, Yanzhe Zhang, Jiaao Chen et al.*70 citations*
73. **[ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction ↗](https://aclanthology.org/2021.naacl-main.167/)**Jiahao Bu, Lei Ren, Shuang Zheng et al.*68 citations*
74. **[GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input ↗](https://aclanthology.org/2021.naacl-main.118/)**Tao Meng, Anjie Fang, Oleg Rokhlenko et al.*68 citations*
75. **[HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization ↗](https://aclanthology.org/2021.naacl-main.260/)**Zhongfen Deng, Hao Peng, Dongxiao He et al.*68 citations*
76. **[Industry Scale Semi-Supervised Learning for Natural Language Understanding ↗](https://aclanthology.org/2021.naacl-industry.39/)**Luoxin Chen, Francisco Garcia, Varun Kumar et al. · Industry Papers*68 citations*
77. **[Meta-Learning for Domain Generalization in Semantic Parsing ↗](https://aclanthology.org/2021.naacl-main.33/)**Bailin Wang, Mirella Lapata, Ivan Titov*68 citations*
78. **[AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization ↗](https://aclanthology.org/2021.naacl-main.471/)**Tiezheng Yu, Zihan Liu, Pascale Fung*67 citations*
79. **[Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/fornaciari-2021-beyond-black-white-leveraging-annotator/)**Tommaso Fornaciari, Alexandra Uma, Silviu Paun et al.*65 citations · our summary*
80. **[Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation ↗](https://aclanthology.org/2021.naacl-main.57/)**Alexander Fabbri, Simeng Han, Haoyuan Li et al.*65 citations*
81. **[ESC: Redesigning WSD with Extractive Sense Comprehension ↗](https://aclanthology.org/2021.naacl-main.371/)**Edoardo Barba, Tommaso Pasini, Roberto Navigli*64 citations*
82. **[Progressive Generation of Long Text with Pretrained Language Models ↗](https://aclanthology.org/2021.naacl-main.341/)**Bowen Tan, Zichao Yang, Maruan Al-Shedivat et al.*64 citations*
83. **[Self-Training with Weak Supervision ↗](https://aclanthology.org/2021.naacl-main.66/)**Giannis Karamanolakis, Subhabrata Mukherjee, Guoqing Zheng et al.*64 citations*
84. **[Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models ↗](https://aclanthology.org/2021.naacl-main.71/)**Mengnan Du, Varun Manjunatha, Rajiv Jain et al.*64 citations*
85. **[Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing ↗](https://aclanthology.org/2021.naacl-main.295/)**Boaz Shmueli, Jan Fell, Soumya Ray et al.*63 citations*
86. **[Bot-Adversarial Dialogue for Safe Conversational Agents](https://md.research.elamur.ai/free/en/papers/xu-2021-bot-adversarial-dialogue-safe-conversational/)**Jing Xu, Da Ju, Margaret Li et al.*63 citations · our summary*
87. **[X-Class: Text Classification with Extremely Weak Supervision ↗](https://aclanthology.org/2021.naacl-main.242/)**Zihan Wang, Dheeraj Mekala, Jingbo Shang*61 citations*
88. **[NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints](https://md.research.elamur.ai/free/en/papers/lu-2021-neurologic-decoding-un-supervised-neural/)**Ximing Lu, Peter West, Rowan Zellers et al.*60 citations · our summary*
89. **[Detoxifying Language Models Risks Marginalizing Minority Voices](https://md.research.elamur.ai/free/en/papers/xu-2021-detoxifying-language-models-risks-marginalizing/)**Albert Xu, Eshaan Pathak, Eric Wallace et al.*58 citations · our summary*
90. **[Pretrained Transformers for Text Ranking: BERT and Beyond ↗](https://aclanthology.org/2021.naacl-tutorials.1/)**Andrew Yates, Rodrigo Nogueira, Jimmy Lin · Tutorials*58 citations*
91. **[Emotion Classification in a Resource Constrained Language Using Transformer-based Approach ↗](https://aclanthology.org/2021.naacl-srw.19/)**Avishek Das, Omar Sharif, Mohammed Moshiul Hoque et al. · Student Research Workshop*57 citations*
92. **[Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking ↗](https://aclanthology.org/2021.naacl-main.448/)**Zhaojiang Lin, Bing Liu, Seungwhan Moon et al.*57 citations*
93. **[Mask Attention Networks: Rethinking and Strengthen Transformer ↗](https://aclanthology.org/2021.naacl-main.135/)**Zhihao Fan, Yeyun Gong, Dayiheng Liu et al.*57 citations*
94. **[Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! ↗](https://aclanthology.org/2021.naacl-main.161/)**Xuanli He, Lingjuan Lyu, Qiongkai Xu et al.*57 citations*
95. **[Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures ↗](https://aclanthology.org/2021.naacl-main.300/)**Caitlin Doogan, Wray Buntine*57 citations*
96. **[TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names ↗](https://aclanthology.org/2021.naacl-main.335/)**Jiaming Shen, Wenda Qiu, Yu Meng et al.*56 citations*
97. **[Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks ↗](https://aclanthology.org/2021.naacl-main.3/)**Minh Van Nguyen, Viet Dac Lai, Thien Huu Nguyen*55 citations*
98. **[Grey-box Adversarial Attack And Defence For Sentiment Classification ↗](https://aclanthology.org/2021.naacl-main.321/)**Ying Xu, Xu Zhong, Antonio Jimeno Yepes et al.*54 citations*
99. **[Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters ↗](https://aclanthology.org/2021.naacl-main.380/)**Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal et al.*53 citations*
100. **[Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ↗](https://aclanthology.org/2021.naacl-main.195/)**Po-Yao Huang, Mandela Patrick, Junjie Hu et al.*53 citations*

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