---
title: "Conference of the North American Chapter of the Association"
description: "Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): 324 works in the Elamur Research library (2001–2025)…"
canonical: "https://research.elamur.ai/free/en/venues/naacl/"
---
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# Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Conference series Published by [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

- [ACL Anthology](https://aclanthology.org/venues/naacl/)
- [OpenAlex](https://openalex.org/S4363608774)

[**324** works in our library](https://md.research.elamur.ai/free/en/venues/naacl/works/) · [**155,213** citations of these works](https://md.research.elamur.ai/free/en/venues/naacl/works/) · [**73,636** citations in our library](https://md.research.elamur.ai/free/en/venues/naacl/works/) · [**2001–2025** years of the works here](#years)

## Works by year

Works in our library by year 324 dated works from 2001 to 2025; the busiest year is 2018 with 51.

**The numbers**

| Year | Works |
| --- | --- |
| 2025 | 1 |
| 2024 | 14 |
| 2022 | 26 |
| 2021 | 49 |
| 2020 | 2 |
| 2019 | 50 |
| 2018 | 51 |
| 2016 | 33 |
| 2015 | 17 |
| 2013 | 8 |
| 2012 | 9 |
| 2010 | 11 |
| 2009 | 8 |
| 2007 | 13 |
| 2006 | 10 |
| 2004 | 13 |
| 2003 | 6 |
| 2001 | 3 |

## Top topics

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

[Machine translation (45)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Coreference resolution (39)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [English (30)](https://md.research.elamur.ai/free/en/topics/english/) · [Language models & pretraining (21)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization (16)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Evaluation & benchmarks (16)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semantic parsing & meaning representation (16)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Discourse analysis (15)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Question answering (14)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Multilingual & cross-lingual NLP (14)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning (11)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion (10)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Dialogue systems (9)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Information retrieval & search (8)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Text generation (7)](https://md.research.elamur.ai/free/en/topics/text-generation/)

**27 more topics**

[Semitic languages (7)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Syntax & grammar formalisms (7)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Named entity recognition (6)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Bias, fairness & safety (6)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Semantic role labeling (5)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Information extraction (5)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Morphology (5)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Knowledge graphs & ontologies (5)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Vision & language (5)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Universal Dependencies (4)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Part-of-speech tagging (4)](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Speech & spoken language (3)](https://md.research.elamur.ai/free/en/topics/speech/) · [Lexical semantics & word embeddings (3)](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [Code & programming languages (3)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Psycholinguistics & language acquisition (3)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Interpretability (3)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Idioms & multiword expressions (3)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Treebanks (2)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Low-resource languages (2)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [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/) · [Speech act theory (1)](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Dependency parsing (1)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Historical linguistics & language change (1)](https://md.research.elamur.ai/free/en/topics/language-change/)

## Fields

[Computer Science (319)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (308)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (18)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (10)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (3)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Decision Sciences (2)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Neuroscience (2)](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Mathematics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Health Professions (1)](https://md.research.elamur.ai/free/en/shelves/health-professions/)

## Top authors

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

[🧑‍🔬**Noah A. Smith**11 works here · 3,018 citations](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) · [🧑‍🔬**Dan Klein**8 works here · 6,337 citations](https://md.research.elamur.ai/free/en/authors/dan-klein/) · [🧑‍🔬**Kenton Lee**6 works here · 28,899 citations](https://md.research.elamur.ai/free/en/authors/kenton-lee/) · [🧑‍🔬**Eduard Hovy**6 works here · 8,990 citations](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) · [🧑‍🔬**Luke Zettlemoyer**6 works here · 5,260 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Hannaneh Hajishirzi**6 works here · 1,508 citations](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) · [🧑‍🔬**Nathan Schneider**6 works here · 612 citations](https://md.research.elamur.ai/free/en/authors/nathan-schneider/) · [🧑‍🔬**Kristina Toutanova**5 works here · 28,792 citations](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/) · [🧑‍🔬**Chris Dyer**5 works here · 7,329 citations](https://md.research.elamur.ai/free/en/authors/chris-dyer/) · [🧑‍🔬**Matt Gardner**5 works here · 5,624 citations](https://md.research.elamur.ai/free/en/authors/matt-gardner/) · [🧑‍🔬**Regina Barzilay**5 works here · 1,937 citations](https://md.research.elamur.ai/free/en/authors/regina-barzilay/) · [🧑‍🔬**Yejin Choi**5 works here · 1,774 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/)

## Top institutions

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

[🎓**University of Washington** Seattle · United States 23 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 20 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Microsoft** Redmond · United States 18 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 15 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Johns Hopkins University** Baltimore · United States 14 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🏢**Google** Mountain View · United States 13 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 13 works here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of Cambridge** Cambridge · United Kingdom 11 works here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**University of California, Berkeley** Berkeley · United States 10 works here](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Meta** Menlo Park · United States 9 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**New York University** New York · United States 9 works here](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Stanford University** Stanford · United States 9 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/)

## Works in our library (324)

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

1. [**BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding**Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.*2019 · 23,422 citations*](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/)
2. [**Hierarchical Attention Networks for Document Classification**Zichao Yang, Diyi Yang, Chris Dyer, et al.*2016 · 5,409 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/)
3. [**fairseq: A Fast, Extensible Toolkit for Sequence Modeling**Myle Ott, Sergey Edunov, Alexei Baevski, et al.*2019 · 3,941 citations*](https://md.research.elamur.ai/free/en/papers/ott-2019-fairseq-fast-extensible-toolkit-sequence/)
4. [**Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network**Kristina Toutanova, Dan Klein, Christopher D. Manning, et al.*2003 · 3,559 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2003-feature-rich-part-speech-tagging/)
5. [**Linguistic Regularities in Continuous Space Word Representations**Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig*2013 · 3,482 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2013-linguistic-regularities-continuous-space-word/)
6. [**Deep Contextualized Word Representations**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 3,240 citations*](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/)
7. [**A Diversity-Promoting Objective Function for Neural Conversation Models**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 2,925 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-diversity-promoting-objective-function-neural/)
8. [**Self-Attention with Relative Position Representations**Peter Shaw, Jakob Uszkoreit, Ashish Vaswani*2018 · 2,811 citations*](https://md.research.elamur.ai/free/en/papers/shaw-2018-self-attention-relative-position-representations/)
9. [**FEVER: a Large-scale Dataset for Fact Extraction and VERification**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,205 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)
10. [**Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics**Chin-Yew Lin, Eduard Hovy*2003 · 1,967 citations*](https://md.research.elamur.ai/free/en/papers/lin-2003-automatic-evaluation-summaries-n-gram/)
11. [**mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer**Linting Xue, Noah Constant, Adam Roberts, et al.*2021 · 1,574 citations*](https://md.research.elamur.ai/free/en/papers/xue-2021-mt5-massively-multilingual-pre-trained/)
12. [**A Probabilistic Earley Parser as a Psycholinguistic Model**John Hale*2001 · 1,448 citations*](https://md.research.elamur.ai/free/en/papers/hale-2001-probabilistic-earley-parser-as-psycholinguistic/)
13. [**BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions**Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.*2019 · 1,299 citations*](https://md.research.elamur.ai/free/en/papers/clark-2019-boolq-exploring-surprising-difficulty-natural/)
14. [**A Structural Probe for Finding Syntax in Word Representations**John Hewitt, Christopher D. Manning*2019 · 1,228 citations*](https://md.research.elamur.ai/free/en/papers/hewitt-2019-structural-probe-finding-syntax-word/)
15. [**Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2018 · 1,186 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/)
16. [**CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge**Alon Talmor, Jonathan Herzig, Nicholas Lourie, et al.*2019 · 1,146 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-commonsenseqa-question-answering-challenge-targeting/)
17. [**It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners**Timo Schick, Hinrich Schütze*2021 · 1,118 citations*](https://md.research.elamur.ai/free/en/papers/schick-2021-it-s-not-just-size/)
18. [**A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches**Eneko Agirre, Enrique Alfonseca, Keith Hall, et al.*2009 · 1,117 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2009-study-similarity-relatedness-distributional-wordnet/)
19. [**Predicting the Type and Target of Offensive Posts in Social Media**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,113 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-predicting-type-target-offensive-posts/)
20. [**Abstractive Sentence Summarization with Attentive Recurrent Neural Networks**Sumit Chopra, Michael Auli, Alexander M. Rush*2016 · 1,085 citations*](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/)
21. [**Neural Architectures for Named Entity Recognition**Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, et al.*2016 · 1,021 citations*](https://md.research.elamur.ai/free/en/papers/lample-2016-neural-architectures-named-entity-recognition/)
22. [**A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents**Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.*2018 · 1,018 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/)
23. [**Linguistic Knowledge and Transferability of Contextual Representations**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,011 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/)
24. [**Attention is not Explanation**Sarthak Jain, Byron C. Wallace*2019 · 997 citations*](https://md.research.elamur.ai/free/en/papers/jain-2019-attention-is-not-explanation/)
25. [**PPDB: The Paraphrase Database**Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch*2013 · 964 citations*](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/)

[See all 324 works →](https://md.research.elamur.ai/free/en/venues/naacl/works/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.