---
title: "ACL 2021 — accepted papers — Elamur Research"
description: "ACL 2021 — accepted papers: 89 papers in the Elamur Research library (Online), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acl/2021/"
---
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# ACL 2021 — accepted papers

ACL 2021 is the 2021 edition of the Annual Meeting of the Association for Computational Linguistics (ACL), held in Online, August 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 795 papers of it in 5 tracks; our library holds 89 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**795** papers in the proceedings](#all) · [**89** works in our library](https://md.research.elamur.ai/free/en/venues/acl/2021/works/) · [**20,239** citations of these works](https://md.research.elamur.ai/free/en/venues/acl/2021/works/)**Online** where it was held**August 2021** when

## Tracks

Long Papers 571Short Papers 139System Demonstrations 43Student Research Workshop 36Tutorial Abstracts 6

## Awards

As the ACL Anthology records them.

1. **[Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/)**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer · Long Papers · 🏆 Outstanding Paper*335 citations · our summary*
2. **[All That's `Human' Is Not Gold: Evaluating Human Evaluation of Generated Text](https://aclanthology.org/2021.acl-long.565/)**Elizabeth Clark, Tal August, Sofia Serrano et al. · Long Papers · 🏆 Outstanding Paper*275 citations*
3. **[Including Signed Languages in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/yin-2021-including-signed-languages-natural-language/)**Kayo Yin, Amit Moryossef, Julie Hochgesang et al. · Long Papers · 🏆 Best Theme Paper*75 citations · our summary*
4. **[Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers](https://aclanthology.org/2021.acl-long.566/)**Benjamin Marie, Atsushi Fujita, Raphael Rubino · Long Papers · 🏆 Outstanding Paper*72 citations*
5. **[UnNatural Language Inference](https://md.research.elamur.ai/free/en/papers/sinha-2021-unnatural-language-inference/)**Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau et al. · Long Papers · 🏆 Outstanding Paper*71 citations · our summary*
6. **[Vocabulary Learning via Optimal Transport for Neural Machine Translation](https://aclanthology.org/2021.acl-long.571/)**Jingjing Xu, Hao Zhou, Chun Gan et al. · Long Papers · 🏆 Best Paper*61 citations*
7. **[Neural Machine Translation with Monolingual Translation Memory](https://aclanthology.org/2021.acl-long.567/)**Deng Cai, Yan Wang, Huayang Li et al. · Long Papers · 🏆 Outstanding Paper*60 citations*
8. **[Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering](https://aclanthology.org/2021.acl-long.564/)**Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei et al. · Long Papers · 🏆 Outstanding Paper*49 citations*
9. **[ExplainaBoard: An Explainable Leaderboard for NLP](https://aclanthology.org/2021.acl-demo.34/)**Pengfei Liu, Jinlan Fu, Yang Xiao et al. · System Demonstrations · 🏆 Best Demonstration Paper*34 citations*
10. **[ESRA: Explainable Scientific Research Assistant](https://aclanthology.org/2021.acl-demo.14/)**Pollawat Hongwimol, Peeranuth Kehasukcharoen, Pasit Laohawarutchai et al. · System Demonstrations · 🏆 Best Demonstration Runner-up*1 citation*

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Prefix-Tuning: Optimizing Continuous Prompts for Generation](https://aclanthology.org/2021.acl-long.353/)**Xiang Lisa Li, Percy Liang · Long Papers*2,324 citations*
2. **[Making Pre-trained Language Models Better Few-shot Learners](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/)**Tianyu Gao, Adam Fisch, Danqi Chen · Long Papers*1,254 citations · our summary*
3. **[StereoSet: Measuring stereotypical bias in pretrained language models](https://md.research.elamur.ai/free/en/papers/nadeem-2021-stereoset-measuring-stereotypical-bias-pretrained/)**Moin Nadeem, Anna Bethke, Siva Reddy · Long Papers*605 citations · our summary*
4. **[LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/)**Yang Xu, Yiheng Xu, Tengchao Lv et al. · Long Papers*482 citations · our summary*
5. **[ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/)**Yuanmeng Yan, Rumei Li, Sirui Wang et al. · Long Papers*474 citations · our summary*
6. **[ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic](https://aclanthology.org/2021.acl-long.551/)**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi · Long Papers*397 citations*
7. **[Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/li-2021-dual-graph-convolutional-networks-aspect/)**Ruifan Li, Hao Chen, Fangxiang Feng et al. · Long Papers*374 citations · our summary*
8. **[DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/)**John Giorgi, Osvald Nitski, Bo Wang et al. · Long Papers*350 citations · our summary*
9. **[Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/)**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer · Long Papers · 🏆 Outstanding Paper*335 citations · our summary*
10. **[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation](https://md.research.elamur.ai/free/en/papers/wang-2021-voxpopuli-large-scale-multilingual-speech/)**Changhan Wang, Morgane Riviere, Ann Lee et al. · Long Papers*329 citations · our summary*

## All accepted papers (795)

The most cited first; 89 with our summary link to their page here, the others to the original.

1. **[Prefix-Tuning: Optimizing Continuous Prompts for Generation](https://aclanthology.org/2021.acl-long.353/)**Xiang Lisa Li, Percy Liang · Long Papers*2,324 citations*
2. **[Making Pre-trained Language Models Better Few-shot Learners](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/)**Tianyu Gao, Adam Fisch, Danqi Chen · Long Papers*1,254 citations · our summary*
3. **[StereoSet: Measuring stereotypical bias in pretrained language models](https://md.research.elamur.ai/free/en/papers/nadeem-2021-stereoset-measuring-stereotypical-bias-pretrained/)**Moin Nadeem, Anna Bethke, Siva Reddy · Long Papers*605 citations · our summary*
4. **[LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/)**Yang Xu, Yiheng Xu, Tengchao Lv et al. · Long Papers*482 citations · our summary*
5. **[ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/)**Yuanmeng Yan, Rumei Li, Sirui Wang et al. · Long Papers*474 citations · our summary*
6. **[ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic](https://aclanthology.org/2021.acl-long.551/)**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi · Long Papers*397 citations*
7. **[Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/li-2021-dual-graph-convolutional-networks-aspect/)**Ruifan Li, Hao Chen, Fangxiang Feng et al. · Long Papers*374 citations · our summary*
8. **[DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/)**John Giorgi, Osvald Nitski, Bo Wang et al. · Long Papers*350 citations · our summary*
9. **[Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/)**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer · Long Papers · 🏆 Outstanding Paper*335 citations · our summary*
10. **[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation](https://md.research.elamur.ai/free/en/papers/wang-2021-voxpopuli-large-scale-multilingual-speech/)**Changhan Wang, Morgane Riviere, Ann Lee et al. · Long Papers*329 citations · our summary*
11. **[MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation](https://aclanthology.org/2021.acl-long.440/)**Jingwen Hu, Yuchen Liu, Jinming Zhao et al. · Long Papers*326 citations*
12. **[Cross-modal Memory Networks for Radiology Report Generation](https://aclanthology.org/2021.acl-long.459/)**Zhihong Chen, Yaling Shen, Yan Song et al. · Long Papers*321 citations*
13. **[A Unified Generative Framework for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/)**Hang Yan, Junqi Dai, Tuo Ji et al. · Long Papers*298 citations · our summary*
14. **[All That's `Human' Is Not Gold: Evaluating Human Evaluation of Generated Text](https://aclanthology.org/2021.acl-long.565/)**Elizabeth Clark, Tal August, Sofia Serrano et al. · Long Papers · 🏆 Outstanding Paper*275 citations*
15. **[Directed Acyclic Graph Network for Conversational Emotion Recognition](https://md.research.elamur.ai/free/en/papers/shen-2021-directed-acyclic-graph-network-conversational/)**Weizhou Shen, Siyue Wu, Yunyi Yang et al. · Long Papers*274 citations · our summary*
16. **[Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/)**Federico Bianchi, Silvia Terragni, Dirk Hovy · Short Papers*269 citations · our summary*
17. **[A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/)**Hang Yan, Tao Gui, Junqi Dai et al. · Long Papers*267 citations · our summary*
18. **[PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction](https://aclanthology.org/2021.acl-long.486/)**Hengyi Zheng, Rui Wen, Xi Chen et al. · Long Papers*244 citations*
19. **[DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations](https://aclanthology.org/2021.acl-long.547/)**Dou Hu, Lingwei Wei, Xiaoyong Huai · Long Papers*238 citations*
20. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/)**Wei Li, Can Gao, Guocheng Niu et al. · Long Papers*231 citations · our summary*
21. **[Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities](https://aclanthology.org/2021.acl-long.203/)**Jinming Zhao, Ruichen Li, Qin Jin · Long Papers*229 citations*
22. **[Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://md.research.elamur.ai/free/en/papers/lu-2021-text2event-controllable-sequence-structure-generation/)**Yaojie Lu, Hongyu Lin, Jin Xu et al. · Long Papers*229 citations · our summary*
23. **[WARP: Word-level Adversarial ReProgramming](https://aclanthology.org/2021.acl-long.381/)**Karen Hambardzumyan, Hrant Khachatrian, Jonathan May · Long Papers*227 citations*
24. **[Towards Emotional Support Dialog Systems](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/)**Siyang Liu, Chujie Zheng, Orianna Demasi et al. · Long Papers*216 citations · our summary*
25. **[Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/)**Ning Ding, Guangwei Xu, Yulin Chen et al. · Long Papers*212 citations · our summary*

[See all 795 papers in ACL 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acl/2021/papers/)

## Papers with our summary in our library (89)

The most cited first (OpenAlex citations plus our library's).

1. **[Making Pre-trained Language Models Better Few-shot Learners](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Gao, Adam Fisch, Danqi Chen*2021 · 1,963 citations*
2. **[StereoSet: Measuring stereotypical bias in pretrained language models](https://md.research.elamur.ai/free/en/papers/nadeem-2021-stereoset-measuring-stereotypical-bias-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Moin Nadeem, Anna Bethke, Siva Reddy*2021 · 1,132 citations*
3. **[ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanmeng Yan, Rumei Li, Sirui Wang, et al.*2021 · 648 citations*
4. **[LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Xu, Yiheng Xu, Tengchao Lv, et al.*2021 · 623 citations*
5. **[Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer*2021 · 531 citations*
6. **[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation](https://md.research.elamur.ai/free/en/papers/wang-2021-voxpopuli-large-scale-multilingual-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changhan Wang, Morgane Riviere, Ann Lee, et al.*2021 · 524 citations*
7. **[DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**John Giorgi, Osvald Nitski, Bo Wang, et al.*2021 · 515 citations*
8. **[How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*
9. **[Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/li-2021-dual-graph-convolutional-networks-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruifan Li, Hao Chen, Fangxiang Feng, et al.*2021 · 429 citations*
10. **[DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts](https://md.research.elamur.ai/free/en/papers/liu-2021-dexperts-decoding-time-controlled-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alisa Liu, Maarten Sap, Ximing Lu, et al.*2021 · 400 citations*
11. **[TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance](https://md.research.elamur.ai/free/en/papers/zhu-2021-tat-qa-question-answering-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.*2021 · 397 citations*
12. **[A Unified Generative Framework for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Junqi Dai, Tuo Ji, et al.*2021 · 396 citations*
13. **[A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Tao Gui, Junqi Dai, et al.*2021 · 392 citations*
14. **[Towards Emotional Support Dialog Systems](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 391 citations*
15. **[Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction](https://md.research.elamur.ai/free/en/papers/lu-2021-text2event-controllable-sequence-structure-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaojie Lu, Hongyu Lin, Jin Xu, et al.*2021 · 370 citations*
16. **[Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence](https://md.research.elamur.ai/free/en/papers/bianchi-2021-pre-training-is-hot-topic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Federico Bianchi, Silvia Terragni, Dirk Hovy*2021 · 366 citations*
17. **[Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Demi Guo, Alexander Rush, Yoon Kim*2021 · 357 citations*
18. **[Directed Acyclic Graph Network for Conversational Emotion Recognition](https://md.research.elamur.ai/free/en/papers/shen-2021-directed-acyclic-graph-network-conversational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weizhou Shen, Siyue Wu, Yunyi Yang, et al.*2021 · 345 citations*
19. **[SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2021-simcls-simple-framework-contrastive-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Liu, Pengfei Liu*2021 · 341 citations*
20. **[Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Guangwei Xu, Yulin Chen, et al.*2021 · 335 citations*
21. **[Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.*2021 · 320 citations*
22. **[UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning](https://md.research.elamur.ai/free/en/papers/li-2021-unimo-unified-modal-understanding-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Li, Can Gao, Guocheng Niu, et al.*2021 · 299 citations*
23. **[Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models](https://md.research.elamur.ai/free/en/papers/wu-2021-polyjuice-generating-counterfactuals-explaining-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.*2021 · 272 citations*
24. **[Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/pan-2021-contrastive-learning-many-many-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Pan, Mingxuan Wang, Liwei Wu, et al.*2021 · 256 citations*
25. **[Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions](https://md.research.elamur.ai/free/en/papers/cai-2021-aspect-category-opinion-sentiment-quadruple/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongjie Cai, Rui Xia, Jianfei Yu*2021 · 255 citations*

[See all 89 works in ACL 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acl/2021/works/)

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (13)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP (12)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion (10)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Machine translation (6)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Question answering (6)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Dialogue systems (6)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning (5)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety (5)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English (5)](https://md.research.elamur.ai/free/en/topics/english/) · [Named entity recognition (4)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Coreference resolution (4)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Information extraction (4)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Speech & spoken language (4)](https://md.research.elamur.ai/free/en/topics/speech/) · [Discourse analysis (3)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

**13 more topics**

[Vision & language (3)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Summarization (2)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Code & programming languages (2)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Information retrieval & search (2)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Semantic parsing & meaning representation (2)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Tokenization & segmentation (2)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Efficient models & compression (2)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/)

## Fields

[Computer Science (89)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (84)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (12)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (4)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (2)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Zhiyuan Liu**4 works here · 867 citations](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) · [🧑‍🔬**Yong Jiang**3 works here · 802 citations](https://md.research.elamur.ai/free/en/authors/yong-jiang/) · [🧑‍🔬**Lei Li**3 works here · 539 citations](https://md.research.elamur.ai/free/en/authors/lei-li/) · [🧑‍🔬**Mingxuan Wang**3 works here · 539 citations](https://md.research.elamur.ai/free/en/authors/mingxuan-wang/) · [🧑‍🔬**Danqi Chen**2 works here · 2,089 citations](https://md.research.elamur.ai/free/en/authors/danqi-chen/) · [🧑‍🔬**Hang Yan**2 works here · 788 citations](https://md.research.elamur.ai/free/en/authors/hang-yan/) · [🧑‍🔬**Junqi Dai**2 works here · 788 citations](https://md.research.elamur.ai/free/en/authors/junqi-dai/) · [🧑‍🔬**Xipeng Qiu**2 works here · 788 citations](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) · [🧑‍🔬**Zheng Zhang**2 works here · 788 citations](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) · [🧑‍🔬**Luke Zettlemoyer**2 works here · 769 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Sebastian Ruder**2 works here · 694 citations](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/) · [🧑‍🔬**Changhan Wang**2 works here · 641 citations](https://md.research.elamur.ai/free/en/authors/changhan-wang/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Alibaba DAMO Academy** Hangzhou · China 7 works here](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** Hangzhou · China 7 works here](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**University of Washington** Seattle · United States 6 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**Tencent** Shenzhen · China 6 works here](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏢**Meta** Menlo Park · United States 6 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**Tsinghua University** Beijing · China 5 works here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 4 works here](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🏢**Alibaba Group (Cayman Islands)** George Town · Cayman Islands 4 works here](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 4 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 4 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Google** Mountain View · United States 3 works here](https://md.research.elamur.ai/free/en/companies/google/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- [next → ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/)
- [↑ back to ACL](https://md.research.elamur.ai/free/en/venues/acl/)