---
title: "ACL 2019 — accepted papers — Elamur Research"
description: "ACL 2019 — accepted papers: 145 papers in the Elamur Research library (Florence, Italy), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acl/2019/"
---
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# ACL 2019 — accepted papers

ACL 2019 is the 2019 edition of the Annual Meeting of the Association for Computational Linguistics (ACL), held in Florence, Italy, July 2019 (publisher: Association for Computational Linguistics). The ACL Anthology lists 703 papers of it in 3 tracks; our library holds 145 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**703** papers in the proceedings](#all) · [**145** works in our library](https://md.research.elamur.ai/free/en/venues/acl/2019/works/) · [**58,150** citations of these works](https://md.research.elamur.ai/free/en/venues/acl/2019/works/)**Florence, Italy** where it was held**July 2019** when

## Tracks

Main 660System Demonstrations 34Tutorial Abstracts 9

## Awards

As the ACL Anthology records them.

1. **[Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems](https://aclanthology.org/P19-1078/)**Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl et al. · 🏆 Outstanding Paper*415 citations*
2. **[Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts](https://aclanthology.org/P19-1096/)**Rui Xia, Zixiang Ding · 🏆 Outstanding Paper*269 citations*
3. **[Zero-Shot Entity Linking by Reading Entity Descriptions](https://aclanthology.org/P19-1335/)**Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee et al. · 🏆 Outstanding Paper*241 citations*
4. **[Bridging the Gap between Training and Inference for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/)**Wen Zhang, Yang Feng, Fandong Meng et al. · 🏆 Best Long Paper*206 citations · our summary*
5. **[OpenKiwi: An Open Source Framework for Quality Estimation](https://md.research.elamur.ai/free/en/papers/kepler-2019-openkiwi-open-source-framework-quality/)**Fabio Kepler, Jonay Trénous, Marcos Treviso et al. · System Demonstrations · 🏆 Best Demo Paper*112 citations · our summary*
6. **[We Need to Talk about Standard Splits](https://aclanthology.org/P19-1267/)**Kyle Gorman, Steven Bedrick · 🏆 Outstanding Paper*95 citations*
7. **[A Simple Theoretical Model of Importance for Summarization](https://aclanthology.org/P19-1101/)**Maxime Peyrard · 🏆 Outstanding Paper*70 citations*
8. **[Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment](https://md.research.elamur.ai/free/en/papers/jiang-2019-do-you-know-that-florence/)**Nanjiang Jiang, Marie-Catherine de Marneffe · 🏆 Best Short Paper*16 citations · our summary*

## Most cited papers

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

1. **[Energy and Policy Considerations for Deep Learning in NLP](https://md.research.elamur.ai/free/en/papers/strubell-2019-energy-policy-considerations-deep-learning/)**Emma Strubell, Ananya Ganesh, Andrew McCallum*3,453 citations · our summary*
2. **[Transformer-XL: Attentive Language Models beyond a Fixed-Length Context](https://aclanthology.org/P19-1285/)**Zihang Dai, Zhilin Yang, Yiming Yang et al.*3,085 citations*
3. **[Multimodal Transformer for Unaligned Multimodal Language Sequences](https://md.research.elamur.ai/free/en/papers/tsai-2019-multimodal-transformer-unaligned-multimodal-language/)**Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang et al.*2,005 citations · our summary*
4. **[ERNIE: Enhanced Language Representation with Informative Entities](https://aclanthology.org/P19-1139/)**Zhengyan Zhang, Xu Han, Zhiyuan Liu et al.*1,440 citations*
5. **[MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations](https://md.research.elamur.ai/free/en/papers/poria-2018-meld-multimodal-multi-party-dataset/)**Soujanya Poria, Devamanyu Hazarika, Navonil Majumder et al.*1,332 citations · our summary*
6. **[How Multilingual is Multilingual BERT?](https://md.research.elamur.ai/free/en/papers/pires-2019-how-multilingual-is-multilingual-bert/)**Telmo Pires, Eva Schlinger, Dan Garrette*1,286 citations · our summary*
7. **[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*1,259 citations · our summary*
8. **[What Does BERT Learn about the Structure of Language?](https://md.research.elamur.ai/free/en/papers/jawahar-2019-what-does-bert-learn-about/)**Ganesh Jawahar, Benoît Sagot, Djamé Seddah*1,219 citations · our summary*
9. **[Multi-Task Deep Neural Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/)**Xiaodong Liu, Pengcheng He, Weizhu Chen et al.*1,154 citations · our summary*
10. **[Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/)**Elena Voita, David Talbot, Fedor Moiseev et al.*1,111 citations · our summary*

## All accepted papers (703)

The most cited first; 145 with our summary link to their page here, the others to the original.

1. **[Energy and Policy Considerations for Deep Learning in NLP](https://md.research.elamur.ai/free/en/papers/strubell-2019-energy-policy-considerations-deep-learning/)**Emma Strubell, Ananya Ganesh, Andrew McCallum*3,453 citations · our summary*
2. **[Transformer-XL: Attentive Language Models beyond a Fixed-Length Context](https://aclanthology.org/P19-1285/)**Zihang Dai, Zhilin Yang, Yiming Yang et al.*3,085 citations*
3. **[Multimodal Transformer for Unaligned Multimodal Language Sequences](https://md.research.elamur.ai/free/en/papers/tsai-2019-multimodal-transformer-unaligned-multimodal-language/)**Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang et al.*2,005 citations · our summary*
4. **[ERNIE: Enhanced Language Representation with Informative Entities](https://aclanthology.org/P19-1139/)**Zhengyan Zhang, Xu Han, Zhiyuan Liu et al.*1,440 citations*
5. **[MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations](https://md.research.elamur.ai/free/en/papers/poria-2018-meld-multimodal-multi-party-dataset/)**Soujanya Poria, Devamanyu Hazarika, Navonil Majumder et al.*1,332 citations · our summary*
6. **[How Multilingual is Multilingual BERT?](https://md.research.elamur.ai/free/en/papers/pires-2019-how-multilingual-is-multilingual-bert/)**Telmo Pires, Eva Schlinger, Dan Garrette*1,286 citations · our summary*
7. **[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*1,259 citations · our summary*
8. **[What Does BERT Learn about the Structure of Language?](https://md.research.elamur.ai/free/en/papers/jawahar-2019-what-does-bert-learn-about/)**Ganesh Jawahar, Benoît Sagot, Djamé Seddah*1,219 citations · our summary*
9. **[Multi-Task Deep Neural Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/)**Xiaodong Liu, Pengcheng He, Weizhu Chen et al.*1,154 citations · our summary*
10. **[Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/)**Elena Voita, David Talbot, Fedor Moiseev et al.*1,111 citations · our summary*
11. **[Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)**R. Thomas McCoy, Ellie Pavlick, Tal Linzen*931 citations · our summary*
12. **[COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/)**Antoine Bosselut, Hannah Rashkin, Maarten Sap et al.*868 citations · our summary*
13. **[HellaSwag: Can a Machine Really Finish Your Sentence?](https://aclanthology.org/P19-1472/)**Rowan Zellers, Ari Holtzman, Yonatan Bisk et al.*795 citations*
14. **[Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset](https://aclanthology.org/P19-1534/)**Hannah Rashkin, Eric Michael Smith, Margaret Li et al.*771 citations*
15. **[The Risk of Racial Bias in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sap-2019-risk-racial-bias-hate-speech/)**Maarten Sap, Dallas Card, Saadia Gabriel et al.*770 citations · our summary*
16. **[Latent Retrieval for Weakly Supervised Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/)**Kenton Lee, Ming-Wei Chang, Kristina Toutanova*749 citations · our summary*
17. **[Matching the Blanks: Distributional Similarity for Relation Learning](https://md.research.elamur.ai/free/en/papers/soares-2019-matching-blanks-distributional-similarity-relation/)**Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling et al.*697 citations · our summary*
18. **[Learning Deep Transformer Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2019-learning-deep-transformer-models-machine/)**Qiang Wang, Bei Li, Tong Xiao et al.*653 citations · our summary*
19. **[Is Attention Interpretable?](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/)**Sofia Serrano, Noah A. Smith*648 citations · our summary*
20. **[Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency](https://md.research.elamur.ai/free/en/papers/ren-2019-generating-natural-language-adversarial-examples/)**Shuhuai Ren, Yihe Deng, Kun He et al.*635 citations · our summary*
21. **[A Multiscale Visualization of Attention in the Transformer Model](https://md.research.elamur.ai/free/en/papers/vig-2019-multiscale-visualization-attention-transformer-model/)**Jesse Vig · System Demonstrations*555 citations · our summary*
22. **[DocRED: A Large-Scale Document-Level Relation Extraction Dataset](https://aclanthology.org/P19-1074/)**Yuan Yao, Deming Ye, Peng Li et al.*524 citations*
23. **[Attention Guided Graph Convolutional Networks for Relation Extraction](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/)**Zhijiang Guo, Yan Zhang, Wei Lu*522 citations · our summary*
24. **[Mitigating Gender Bias in Natural Language Processing: Literature Review](https://md.research.elamur.ai/free/en/papers/sun-2019-mitigating-gender-bias-natural-language/)**Tony Sun, Andrew Gaut, Shirlyn Tang et al.*478 citations · our summary*
25. **[A Corpus for Reasoning about Natural Language Grounded in Photographs](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/)**Alane Suhr, Stephanie Zhou, Ally Zhang et al.*448 citations · our summary*

[See all 703 papers in ACL 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acl/2019/papers/)

## Papers with our summary in our library (145)

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

1. **[Energy and Policy Considerations for Deep Learning in NLP](https://md.research.elamur.ai/free/en/papers/strubell-2019-energy-policy-considerations-deep-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Emma Strubell, Ananya Ganesh, Andrew McCallum*2019 · 4,053 citations*
2. **[Multimodal Transformer for Unaligned Multimodal Language Sequences](https://md.research.elamur.ai/free/en/papers/tsai-2019-multimodal-transformer-unaligned-multimodal-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.*2019 · 2,174 citations*
3. **[How Multilingual is Multilingual BERT?](https://md.research.elamur.ai/free/en/papers/pires-2019-how-multilingual-is-multilingual-bert/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Telmo Pires, Eva Schlinger, Dan Garrette*2019 · 2,104 citations*
4. **[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 2,002 citations*
5. **[What Does BERT Learn about the Structure of Language?](https://md.research.elamur.ai/free/en/papers/jawahar-2019-what-does-bert-learn-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ganesh Jawahar, Benoît Sagot, Djamé Seddah*2019 · 1,799 citations*
6. [**Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference**R. Thomas McCoy, Ellie Pavlick, Tal Linzen*2019 · 1,635 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)
7. **[Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned](https://md.research.elamur.ai/free/en/papers/voita-2019-analyzing-multi-head-self-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elena Voita, David Talbot, Fedor Moiseev, et al.*2019 · 1,520 citations*
8. **[Multi-Task Deep Neural Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.*2019 · 1,511 citations*
9. **[COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.*2019 · 1,287 citations*
10. **[CamemBERT: a Tasty French Language Model](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.*2019 · 1,267 citations*
11. **[Latent Retrieval for Weakly Supervised Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kenton Lee, Ming-Wei Chang, Kristina Toutanova*2019 · 1,236 citations*
12. **[The Risk of Racial Bias in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sap-2019-risk-racial-bias-hate-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Dallas Card, Saadia Gabriel, et al.*2019 · 1,152 citations*
13. **[Matching the Blanks: Distributional Similarity for Relation Learning](https://md.research.elamur.ai/free/en/papers/soares-2019-matching-blanks-distributional-similarity-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, et al.*2019 · 994 citations*
14. **[Is Attention Interpretable?](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sofia Serrano, Noah A. Smith*2019 · 889 citations*
15. **[Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency](https://md.research.elamur.ai/free/en/papers/ren-2019-generating-natural-language-adversarial-examples/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuhuai Ren, Yihe Deng, Kun He, et al.*2019 · 884 citations*
16. **[Learning Deep Transformer Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2019-learning-deep-transformer-models-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiang Wang, Bei Li, Tong Xiao, et al.*2019 · 802 citations*
17. **[Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model](https://md.research.elamur.ai/free/en/papers/fabbri-2019-multi-news-large-scale-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexander Fabbri, Irene Li, Tianwei She, et al.*2019 · 743 citations*
18. **[MLQA: Evaluating Cross-lingual Extractive Question Answering](https://md.research.elamur.ai/free/en/papers/lewis-2019-mlqa-evaluating-cross-lingual-extractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Patrick Lewis, Barlas Oğuz, Ruty Rinott, et al.*2019 · 738 citations*
19. **[Mitigating Gender Bias in Natural Language Processing: Literature Review](https://md.research.elamur.ai/free/en/papers/sun-2019-mitigating-gender-bias-natural-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tony Sun, Andrew Gaut, Shirlyn Tang, et al.*2019 · 718 citations*
20. **[A Multiscale Visualization of Attention in the Transformer Model](https://md.research.elamur.ai/free/en/papers/vig-2019-multiscale-visualization-attention-transformer-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jesse Vig*2019 · 711 citations*
21. **[GLTR: Statistical Detection and Visualization of Generated Text](https://md.research.elamur.ai/free/en/papers/gehrmann-2019-gltr-statistical-detection-visualization-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush*2019 · 693 citations*
22. **[Explain Yourself! Leveraging Language Models for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/rajani-2019-explain-yourself-leveraging-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al.*2019 · 693 citations*
23. **[ELI5: Long Form Question Answering](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Angela Fan, Yacine Jernite, Ethan Perez, et al.*2019 · 685 citations*
24. [**A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)**Alane Suhr, Stephanie Zhou, Ally Zhang, et al.*2019 · 644 citations*](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/)
25. **[Attention Guided Graph Convolutional Networks for Relation Extraction](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhijiang Guo, Yan Zhang, Wei Lu*2019 · 600 citations*

[See all 145 works in ACL 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acl/2019/works/)

## Top topics

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

[Machine translation (16)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Reasoning (14)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering (11)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [English (11)](https://md.research.elamur.ai/free/en/topics/english/) · [Discourse analysis (9)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Summarization (9)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Sentiment & emotion (8)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Dialogue systems (8)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Multilingual & cross-lingual NLP (8)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Coreference resolution (7)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Language models & pretraining (7)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (6)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language (6)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information extraction (5)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Morphology (5)](https://md.research.elamur.ai/free/en/topics/morphology/)

**19 more topics**

[Bias, fairness & safety (5)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Text generation (4)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Knowledge graphs & ontologies (4)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Syntax & grammar formalisms (4)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Named entity recognition (2)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Low-resource languages (2)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Legal AI (2)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [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/) · [Akkadian and cuneiform NLP (1)](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/) · [Word sense disambiguation (1)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Hebrew & Aramaic (1)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [French (1)](https://md.research.elamur.ai/free/en/topics/french/) · [Biblical Hebrew (1)](https://md.research.elamur.ai/free/en/topics/biblical-hebrew/)

## Fields

[Computer Science (145)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (137)](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 (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/) · [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.

[🧑‍🔬**Noah A. Smith**4 works here · 2,838 citations](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) · [🧑‍🔬**Luke Zettlemoyer**4 works here · 1,157 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Ivan Titov**3 works here · 1,968 citations](https://md.research.elamur.ai/free/en/authors/ivan-titov/) · [🧑‍🔬**Alexander M. Rush**3 works here · 1,010 citations](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/) · [🧑‍🔬**Mirella Lapata**3 works here · 897 citations](https://md.research.elamur.ai/free/en/authors/mirella-lapata/) · [🧑‍🔬**Hannaneh Hajishirzi**3 works here · 753 citations](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) · [🧑‍🔬**Ryan Cotterell**3 works here · 606 citations](https://md.research.elamur.ai/free/en/authors/ryan-cotterell/) · [🧑‍🔬**Graham Neubig**3 works here · 556 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Ellie Pavlick**2 works here · 3,637 citations](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/) · [🧑‍🔬**Benoit Sagot**2 works here · 3,066 citations](https://md.research.elamur.ai/free/en/authors/benoit-sagot/) · [🧑‍🔬**Djamé Seddah**2 works here · 3,066 citations](https://md.research.elamur.ai/free/en/authors/djame-seddah/) · [🧑‍🔬**Maarten Sap**2 works here · 2,439 citations](https://md.research.elamur.ai/free/en/authors/maarten-sap/)

## Top institutions

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

[🏢**Google** Mountain View · United States 12 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Meta** Menlo Park · United States 10 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 10 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Washington** Seattle · United States 9 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 9 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 8 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🏢**Microsoft** Redmond · United States 7 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Johns Hopkins University** Baltimore · United States 5 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Singapore University of Technology and Design** Singapore · Singapore 4 works here](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 4 works here](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) · [🎓**Tsinghua University** Beijing · China 4 works here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

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

- [← previous ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/)
- [next → ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- [↑ back to ACL](https://md.research.elamur.ai/free/en/venues/acl/)