---
title: "EACL 2021 — all papers: 35 in our library, the most cited first"
description: "35 works of EACL 2021 in our library, the most cited first. Among them: Exploiting Cloze-Questions for Few-Shot Text Classification and…"
canonical: "https://research.elamur.ai/free/en/venues/eacl/2021/works/"
---
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# EACL 2021: all papers in our library

35 works · the most cited first · [← EACL 2021](https://md.research.elamur.ai/free/en/venues/eacl/2021/)

1. **[Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference](https://md.research.elamur.ai/free/en/papers/schick-2021-exploiting-cloze-questions-few-shot/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Timo Schick, Hinrich Schütze*2021 · 1,803 citations*
2. **[Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/izacard-2021-leveraging-passage-retrieval-generative-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Gautier Izacard, Edouard Grave*2021 · 1,675 citations*
3. **[Recipes for Building an Open-Domain Chatbot](https://md.research.elamur.ai/free/en/papers/roller-2021-recipes-building-open-domain-chatbot/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Stephen Roller, Emily Dinan, Naman Goyal, et al.*2021 · 1,208 citations*
4. **[MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark](https://md.research.elamur.ai/free/en/papers/li-2021-mtop-comprehensive-multilingual-task-oriented/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Haoran Li, Abhinav Arora, Shuohui Chen, et al.*2021 · 239 citations*
5. **[Cross-lingual Contextualized Topic Models with Zero-shot Learning](https://md.research.elamur.ai/free/en/papers/bianchi-2021-cross-lingual-contextualized-topic-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Federico Bianchi, Silvia Terragni, Dirk Hovy, et al.*2021 · 215 citations*
6. **[Entity-level Factual Consistency of Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.*2021 · 205 citations*
7. **[Challenges in Automated Debiasing for Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/zhou-2021-challenges-automated-debiasing-toxic-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.*2021 · 190 citations*
8. **[Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/kassner-2021-multilingual-lama-investigating-knowledge-multilingual/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nora Kassner, Philipp Dufter, Hinrich Schütze*2021 · 178 citations*
9. **[Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*
10. **[Debiasing Pre-trained Contextualised Embeddings](https://md.research.elamur.ai/free/en/papers/kaneko-2021-debiasing-pre-trained-contextualised-embeddings/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Masahiro Kaneko, Danushka Bollegala*2021 · 174 citations*
11. [**Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing**Minh Van Nguyen, Viet Dac Lai, Amir Pouran Ben Veyseh, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2021-trankit-light-weight-transformer-based/)
12. **[Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2021-machine-translationese-effects-algorithmic-bias/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Eva Vanmassenhove, Dimitar Shterionov, Matthew Gwilliam*2021 · 161 citations*
13. **[On Hallucination and Predictive Uncertainty in Conditional Language Generation](https://md.research.elamur.ai/free/en/papers/xiao-2021-hallucination-predictive-uncertainty-conditional-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yijun Xiao, William Yang Wang*2021 · 155 citations*
14. **[Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation](https://md.research.elamur.ai/free/en/papers/ma-2021-zero-shot-neural-passage-retrieval/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ji Ma, Ivan Korotkov, Yinfei Yang, et al.*2021 · 144 citations*
15. **[Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?](https://md.research.elamur.ai/free/en/papers/ravichander-2021-probing-probing-paradigm-does-probing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy*2021 · 141 citations*
16. **[Evaluating the Evaluation of Diversity in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/tevet-2021-evaluating-evaluation-diversity-natural-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Guy Tevet, Jonathan Berant*2021 · 103 citations*
17. **[Probing for idiomaticity in vector space models](https://md.research.elamur.ai/free/en/papers/garcia-2021-probing-idiomaticity-vector-space-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, et al.*2021 · 89 citations*
18. **[First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT](https://md.research.elamur.ai/free/en/papers/muller-2021-first-align-then-predict-understanding/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Benjamin Muller, Yanai Elazar, Benoît Sagot, et al.*2021 · 87 citations*
19. **[CLiMP: A Benchmark for Chinese Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/xiang-2021-climp-benchmark-chinese-language-model/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Beilei Xiang, Changbing Yang, Yu Li, et al.*2021 · 73 citations*
20. [**Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR**Juri Opitz, Anette Frank*2021 · 51 citations*](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/)
21. [**MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations**Dian Yu, Zhou Yu*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)
22. **[Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yin Jou Huang, Sadao Kurohashi*2021 · 41 citations*
23. **[A Few Topical Tweets are Enough for Effective User Stance Detection](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Younes Samih, Kareem Darwish*2021 · 40 citations*
24. **[Top-down Discourse Parsing via Sequence Labelling](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Fajri Koto, Jey Han Lau, Timothy Baldwin*2021 · 37 citations*
25. **[Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.*2021 · 28 citations*
26. **[ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain](https://md.research.elamur.ai/free/en/papers/fang-2021-chemu-ref-corpus-modeling-anaphora/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, et al.*2021 · 27 citations*
27. **[Exploring Transitivity in Neural NLI Models through Veridicality](https://md.research.elamur.ai/free/en/papers/yanaka-2021-exploring-transitivity-neural-nli-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hitomi Yanaka, Koji Mineshima, Kentaro Inui*2021 · 27 citations*
28. **[Dialogue Act-based Breakdown Detection in Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita*2021 · 23 citations*
29. [**Ellipsis Resolution as Question Answering: An Evaluation**Rahul Aralikatte, Matthew Lamm, Daniel Hardt, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/aralikatte-2021-ellipsis-resolution-as-question-answering/)
30. [**Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling**Stefan Grünewald, Prisca Piccirilli, Annemarie Friedrich*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/grunewald-2021-coordinate-constructions-english-enhanced-universal/)
31. **[“Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space](https://md.research.elamur.ai/free/en/papers/ghosh-2021-laughing-you-or-you-role/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan*2021 · 11 citations*
32. **[How Fast can BERT Learn Simple Natural Language Inference?](https://md.research.elamur.ai/free/en/papers/lin-2021-how-fast-can-bert-learn/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yi-Chung Lin, Keh-Yih Su*2021 · 10 citations*
33. [**Acquiring a Formality-Informed Lexical Resource for Style Analysis**Elisabeth Eder, Ulrike Krieg-Holz, Udo Hahn*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/eder-2021-acquiring-formality-informed-lexical-resource/)
34. [**"Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue**Andreas Weise, Vered Silber-Varod, Anat Lerner, et al.*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/weise-2021-talk-me-left-right-angles/)
35. **[Using and comparing Rhetorical Structure Theory parsers with rst-workbench](https://md.research.elamur.ai/free/en/papers/neumann-2021-comparing-rhetorical-structure-theory-parsers/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Arne Neumann*2021*
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