---
title: "Conference on Empirical Methods in Natural Language"
description: "Conference on Empirical Methods in Natural Language Processing (EMNLP): 703 works in the Elamur Research library (1996–2025), 322,185 citations; its…"
canonical: "https://research.elamur.ai/free/en/venues/emnlp/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/emnlp/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / Conference on Empirical Methods in Natural Language…

# Conference on Empirical Methods in Natural Language Processing (EMNLP)

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/emnlp/)
- [OpenAlex](https://openalex.org/S4363608991)

[**703** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/works/) · [**322,185** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/works/) · [**111,579** citations in our library](https://md.research.elamur.ai/free/en/venues/emnlp/works/) · [**1996–2025** years of the works here](#years)

## Works by year

Works in our library by year 703 dated works from 1996 to 2025; the busiest year is 2020 with 89.

**The numbers**

| Year | Works |
| --- | --- |
| 2025 | 17 |
| 2024 | 19 |
| 2023 | 54 |
| 2022 | 36 |
| 2021 | 47 |
| 2020 | 89 |
| 2019 | 69 |
| 2018 | 69 |
| 2017 | 44 |
| 2016 | 49 |
| 2015 | 33 |
| 2014 | 28 |
| 2013 | 20 |
| 2012 | 11 |
| 2011 | 17 |
| 2010 | 10 |
| 2009 | 16 |
| 2008 | 17 |
| 2007 | 17 |
| 2006 | 6 |
| 2004 | 7 |
| 2003 | 10 |
| 2002 | 7 |
| 2001 | 2 |
| 2000 | 1 |
| 1999 | 3 |
| 1998 | 2 |
| 1997 | 2 |
| 1996 | 1 |

## Top topics

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

[Coreference resolution (81)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [English (76)](https://md.research.elamur.ai/free/en/topics/english/) · [Machine translation (74)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining (65)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion (56)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks (50)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Discourse analysis (47)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Multilingual & cross-lingual NLP (37)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Question answering (36)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Dialogue systems (36)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning (31)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dependency parsing (21)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Summarization (19)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Text generation (18)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Semitic languages (17)](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

**34 more topics**

[Semantic role labeling (15)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Information extraction (15)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Information retrieval & search (15)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Semantic parsing & meaning representation (15)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Named entity recognition (12)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Vision & language (12)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety (11)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Part-of-speech tagging (9)](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Syntax & grammar formalisms (9)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Universal Dependencies (8)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Morphology (8)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Word sense disambiguation (7)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Low-resource languages (7)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Knowledge graphs & ontologies (7)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Efficient models & compression (7)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Speech act theory (6)](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Interpretability (6)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Idioms & multiword expressions (6)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Hebrew & Aramaic (5)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Tokenization & segmentation (5)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Treebanks (4)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Speech & spoken language (4)](https://md.research.elamur.ai/free/en/topics/speech/) · [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/) · [Grammatical error correction & learner language (3)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Historical linguistics & language change (3)](https://md.research.elamur.ai/free/en/topics/language-change/) · [Modern Hebrew (3)](https://md.research.elamur.ai/free/en/topics/modern-hebrew/) · [Implicature (2)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Lexical semantics & word embeddings (2)](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [Legal AI (2)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Biblical Hebrew (2)](https://md.research.elamur.ai/free/en/topics/biblical-hebrew/) · [Akkadian and cuneiform NLP (1)](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/) · [French (1)](https://md.research.elamur.ai/free/en/topics/french/) · [Aramaic (1)](https://md.research.elamur.ai/free/en/topics/aramaic/)

## Fields

[Computer Science (690)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (663)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (40)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (30)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (8)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Decision Sciences (5)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Neuroscience (3)](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Physics and Astronomy (2)](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/)

## Top authors

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

[🧑‍🔬**Luke Zettlemoyer**20 works here · 10,227 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Christopher D. Manning**16 works here · 21,567 citations](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) · [🧑‍🔬**Iryna Gurevych**11 works here · 10,153 citations](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) · [🧑‍🔬**Yejin Choi**11 works here · 5,512 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Graham Neubig**11 works here · 2,432 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Mirella Lapata**10 works here · 4,442 citations](https://md.research.elamur.ai/free/en/authors/mirella-lapata/) · [🧑‍🔬**Dan Roth**10 works here · 2,351 citations](https://md.research.elamur.ai/free/en/authors/dan-roth/) · [🧑‍🔬**Vincent Ng**10 works here · 1,103 citations](https://md.research.elamur.ai/free/en/authors/vincent-ng/) · [🧑‍🔬**Hannaneh Hajishirzi**9 works here · 6,268 citations](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) · [🧑‍🔬**Dan Jurafsky**9 works here · 4,568 citations](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/) · [🧑‍🔬**Noah A. Smith**9 works here · 2,182 citations](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) · [🧑‍🔬**Percy Liang**8 works here · 14,678 citations](https://md.research.elamur.ai/free/en/authors/percy-liang/)

## Top institutions

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

[🏢**Google** Mountain View · United States 46 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Washington** Seattle · United States 46 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 43 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Stanford University** Stanford · United States 41 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 33 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 29 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🏢**Meta** Menlo Park · United States 22 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Microsoft** Redmond · United States 20 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 18 works here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Georgia Institute of Technology** Atlanta · United States 15 works here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 15 works here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Soochow University** Suzhou · China 15 works here](https://md.research.elamur.ai/free/en/universities/soochow-university/)

## Works in our library (703)

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

1. [**Convolutional Neural Networks for Sentence Classification**Yoon Kim*2014 · 16,218 citations*](https://md.research.elamur.ai/free/en/papers/kim-2014-convolutional-neural-networks-sentence-classification/)
2. [**Transformers: State-of-the-Art Natural Language Processing**Thomas Wolf, Lysandre Debut, Victor Sanh, et al.*2020 · 15,591 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2020-transformers-state-art-natural-language/)
3. [**SQuAD: 100,000+ Questions for Machine Comprehension of Text**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.*2016 · 9,488 citations*](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/)
4. [**Thumbs up? Sentiment Classification using Machine Learning Techniques**Bo Pang, Lillian Lee, Shivakumar Vaithyanathan*2002 · 7,756 citations*](https://md.research.elamur.ai/free/en/papers/pang-2002-thumbs-up-sentiment-classification-machine/)
5. [**GloVe: Global Vectors for Word Representation**Jeffrey Pennington, Richard Socher, Christopher Manning*2014 · 5,962 citations*](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/)
6. [**Dense Passage Retrieval for Open-Domain Question Answering**Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al.*2020 · 5,370 citations*](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/)
7. [**Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks**Nils Reimers, Iryna Gurevych*2019 · 4,838 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2019-sentence-bert-sentence-embeddings-siamese/)
8. [**SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing**Taku Kudo, John Richardson*2018 · 4,461 citations*](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/)
9. [**SimCSE: Simple Contrastive Learning of Sentence Embeddings**Tianyu Gao, Xingcheng Yao, Danqi Chen*2021 · 3,921 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/)
10. [**SciBERT: A Pretrained Language Model for Scientific Text**Iz Beltagy, Kyle Lo, Arman Cohan*2019 · 3,548 citations*](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/)
11. [**HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering**Zhilin Yang, Peng Qi, Saizheng Zhang, et al.*2018 · 3,489 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/)
12. [**Language Models as Knowledge Bases?**Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.*2019 · 2,977 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2019-language-models-as-knowledge-bases/)
13. [**LXMERT: Learning Cross-Modality Encoder Representations from Transformers**Hao Tan, Mohit Bansal*2019 · 2,714 citations*](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/)
14. [**Attention-based LSTM for Aspect-level Sentiment Classification**Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.*2016 · 2,609 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/)
15. [**Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms**Michael Collins*2002 · 2,510 citations*](https://md.research.elamur.ai/free/en/papers/collins-2002-discriminative-training-methods-hidden-markov/)
16. [**Statistical Significance Tests for Machine Translation Evaluation**Philipp Koehn*2004 · 2,444 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2004-statistical-significance-tests-machine-translation/)
17. [**A Fast and Accurate Dependency Parser using Neural Networks**Danqi Chen, Christopher Manning*2014 · 2,301 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-fast-accurate-dependency-parser-neural/)
18. [**Tensor Fusion Network for Multimodal Sentiment Analysis**Amir Zadeh, Minghai Chen, Soujanya Poria, et al.*2017 · 2,107 citations*](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/)
19. [**Adversarial Examples for Evaluating Reading Comprehension Systems**Robin Jia, Percy Liang*2017 · 1,935 citations*](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)
20. [**AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts**Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.*2020 · 1,879 citations*](https://md.research.elamur.ai/free/en/papers/shin-2020-autoprompt-eliciting-knowledge-language-models/)
21. [**Domain Adaptation with Structural Correspondence Learning**John Blitzer, Ryan McDonald, Fernando Pereira*2006 · 1,792 citations*](https://md.research.elamur.ai/free/en/papers/blitzer-2006-domain-adaptation-structural-correspondence-learning/)
22. [**COMET: A Neural Framework for MT Evaluation**Ricardo Rei, Craig Stewart, Ana C Farinha, et al.*2020 · 1,784 citations*](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/)
23. [**Document Modeling with Gated Recurrent Neural Network for Sentiment Classification**Duyu Tang, Bing Qin, Ting Liu*2015 · 1,675 citations*](https://md.research.elamur.ai/free/en/papers/tang-2015-document-modeling-gated-recurrent-neural/)
24. [**Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding**Akira Fukui, Dong Huk Park, Daylen Yang, et al.*2016 · 1,642 citations*](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/)
25. [**RACE: Large-scale ReAding Comprehension Dataset From Examinations**Guokun Lai, Qizhe Xie, Hanxiao Liu, et al.*2017 · 1,619 citations*](https://md.research.elamur.ai/free/en/papers/lai-2017-race-large-scale-reading-comprehension/)

[See all 703 works →](https://md.research.elamur.ai/free/en/venues/emnlp/works/)

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