---
title: "NAACL 2018 — accepted papers — Elamur Research"
description: "NAACL 2018 — accepted papers: 66 papers in the Elamur Research library (New Orleans, Louisiana), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/naacl/2018/"
---
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# NAACL 2018 — accepted papers

NAACL 2018 is the 2018 edition of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), held in New Orleans, Louisiana, June 2018 (publisher: Association for Computational Linguistics). The ACL Anthology lists 383 papers of it in 5 tracks; our library holds 66 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**383** papers in the proceedings](#all) · [**66** works in our library](https://md.research.elamur.ai/free/en/venues/naacl/2018/works/) · [**41,869** citations of these works](https://md.research.elamur.ai/free/en/venues/naacl/2018/works/)**New Orleans, Louisiana** where it was held**June 2018** when

## Tracks

Human Language Technologies, Volume 1 (Long Papers 205Human Language Technologies, Volume 2 (Short Papers 125Human Language Technologies, Volume 3 (Industry Papers 27Demonstrations 20Tutorial Abstracts 6

## Most cited papers

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

1. **[Deep Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/)**Matthew E. Peters, Mark Neumann, Mohit Iyyer et al. · Human Language Technologies, Volume 1 (Long Papers*11,541 citations · our summary*
2. **[A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference](https://aclanthology.org/N18-1101/)**Adina Williams, Nikita Nangia, Samuel R. Bowman · Human Language Technologies, Volume 1 (Long Papers*3,231 citations*
3. **[Self-Attention with Relative Position Representations](https://md.research.elamur.ai/free/en/papers/shaw-2018-self-attention-relative-position-representations/)**Peter Shaw, Jakob Uszkoreit, Ashish Vaswani · Human Language Technologies, Volume 2 (Short Papers*2,401 citations · our summary*
4. **[FEVER: a Large-scale Dataset for Fact Extraction and VERification](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)**James Thorne, Andreas Vlachos, Christos Christodoulopoulos et al. · Human Language Technologies, Volume 1 (Long Papers*1,287 citations · our summary*
5. **[Annotation Artifacts in Natural Language Inference Data](https://aclanthology.org/N18-2017/)**Suchin Gururangan, Swabha Swayamdipta, Omer Levy et al. · Human Language Technologies, Volume 2 (Short Papers*894 citations*
6. **[A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/nguyen-2018-novel-embedding-model-knowledge-base/)**Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen et al. · Human Language Technologies, Volume 2 (Short Papers*865 citations · our summary*
7. **[Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features](https://md.research.elamur.ai/free/en/papers/pagliardini-2018-unsupervised-learning-sentence-embeddings-compositional/)**Matteo Pagliardini, Prakhar Gupta, Martin Jaggi · Human Language Technologies, Volume 1 (Long Papers*678 citations · our summary*
8. **[Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar et al. · Human Language Technologies, Volume 2 (Short Papers*645 citations · our summary*
9. **[A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/)**Arman Cohan, Franck Dernoncourt, Doo Soon Kim et al. · Human Language Technologies, Volume 2 (Short Papers*630 citations · our summary*
10. **[Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/)**Mohit Iyyer, John Wieting, Kevin Gimpel et al. · Human Language Technologies, Volume 1 (Long Papers*615 citations · our summary*

## All accepted papers (383)

The most cited first; 66 with our summary link to their page here, the others to the original.

1. **[Deep Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/)**Matthew E. Peters, Mark Neumann, Mohit Iyyer et al. · Human Language Technologies, Volume 1 (Long Papers*11,541 citations · our summary*
2. **[A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference](https://aclanthology.org/N18-1101/)**Adina Williams, Nikita Nangia, Samuel R. Bowman · Human Language Technologies, Volume 1 (Long Papers*3,231 citations*
3. **[Self-Attention with Relative Position Representations](https://md.research.elamur.ai/free/en/papers/shaw-2018-self-attention-relative-position-representations/)**Peter Shaw, Jakob Uszkoreit, Ashish Vaswani · Human Language Technologies, Volume 2 (Short Papers*2,401 citations · our summary*
4. **[FEVER: a Large-scale Dataset for Fact Extraction and VERification](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)**James Thorne, Andreas Vlachos, Christos Christodoulopoulos et al. · Human Language Technologies, Volume 1 (Long Papers*1,287 citations · our summary*
5. **[Annotation Artifacts in Natural Language Inference Data](https://aclanthology.org/N18-2017/)**Suchin Gururangan, Swabha Swayamdipta, Omer Levy et al. · Human Language Technologies, Volume 2 (Short Papers*894 citations*
6. **[A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/nguyen-2018-novel-embedding-model-knowledge-base/)**Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen et al. · Human Language Technologies, Volume 2 (Short Papers*865 citations · our summary*
7. **[Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features](https://md.research.elamur.ai/free/en/papers/pagliardini-2018-unsupervised-learning-sentence-embeddings-compositional/)**Matteo Pagliardini, Prakhar Gupta, Martin Jaggi · Human Language Technologies, Volume 1 (Long Papers*678 citations · our summary*
8. **[Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar et al. · Human Language Technologies, Volume 2 (Short Papers*645 citations · our summary*
9. **[A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/)**Arman Cohan, Franck Dernoncourt, Doo Soon Kim et al. · Human Language Technologies, Volume 2 (Short Papers*630 citations · our summary*
10. **[Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/)**Mohit Iyyer, John Wieting, Kevin Gimpel et al. · Human Language Technologies, Volume 1 (Long Papers*615 citations · our summary*
11. **[Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/)**Sosuke Kobayashi · Human Language Technologies, Volume 2 (Short Papers*603 citations · our summary*
12. **[Explainable Prediction of Medical Codes from Clinical Text](https://md.research.elamur.ai/free/en/papers/mullenbach-2018-explainable-prediction-medical-codes-clinical/)**James Mullenbach, Sarah Wiegreffe, Jon Duke et al. · Human Language Technologies, Volume 1 (Long Papers*563 citations · our summary*
13. **[Slot-Gated Modeling for Joint Slot Filling and Intent Prediction](https://md.research.elamur.ai/free/en/papers/goo-2018-slot-gated-modeling-joint-slot/)**Chih-Wen Goo, Guang Gao, Yun-Kai Hsu et al. · Human Language Technologies, Volume 2 (Short Papers*497 citations · our summary*
14. **[The Web as a Knowledge-Base for Answering Complex Questions](https://md.research.elamur.ai/free/en/papers/talmor-2018-web-as-knowledge-base-answering/)**Alon Talmor, Jonathan Berant · Human Language Technologies, Volume 1 (Long Papers*496 citations · our summary*
15. **[Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/)**Max Grusky, Mor Naaman, Yoav Artzi · Human Language Technologies, Volume 1 (Long Papers*479 citations · our summary*
16. **[Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer](https://aclanthology.org/N18-1169/)**Juncen Li, Robin Jia, He He et al. · Human Language Technologies, Volume 1 (Long Papers*468 citations*
17. **[Colorless Green Recurrent Networks Dream Hierarchically](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/)**Kristina Gulordava, Piotr Bojanowski, Edouard Grave et al. · Human Language Technologies, Volume 1 (Long Papers*465 citations · our summary*
18. **[Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/)**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh et al. · Human Language Technologies, Volume 1 (Long Papers*463 citations · our summary*
19. **[Gender Bias in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/)**Rachel Rudinger, Jason Naradowsky, Brian Leonard et al. · Human Language Technologies, Volume 2 (Short Papers*429 citations · our summary*
20. **[Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings](https://md.research.elamur.ai/free/en/papers/song-2018-directional-skip-gram-explicitly-distinguishing/)**Yan Song, Shuming Shi, Jing Li et al. · Human Language Technologies, Volume 2 (Short Papers*380 citations · our summary*
21. **[Higher-Order Coreference Resolution with Coarse-to-Fine Inference](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/)**Kenton Lee, Luheng He, Luke Zettlemoyer · Human Language Technologies, Volume 2 (Short Papers*371 citations · our summary*
22. **[Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences](https://md.research.elamur.ai/free/en/papers/khashabi-2018-looking-beyond-surface-challenge-set/)**Daniel Khashabi, Snigdha Chaturvedi, Michael Roth et al. · Human Language Technologies, Volume 1 (Long Papers*370 citations · our summary*
23. **[Deep Communicating Agents for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/)**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He et al. · Human Language Technologies, Volume 1 (Long Papers*323 citations · our summary*
24. **[Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/)**Sudha Rao, Joel Tetreault · Human Language Technologies, Volume 1 (Long Papers*321 citations · our summary*
25. **[Construction of the Literature Graph in Semantic Scholar](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/)**Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula et al. · Human Language Technologies, Volume 3 (Industry Papers*317 citations · our summary*

[See all 383 papers in NAACL 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl/2018/papers/)

## Papers with our summary in our library (66)

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

1. **[Deep Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 14,852 citations*
2. **[Self-Attention with Relative Position Representations](https://md.research.elamur.ai/free/en/papers/shaw-2018-self-attention-relative-position-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Peter Shaw, Jakob Uszkoreit, Ashish Vaswani*2018 · 2,820 citations*
3. **[FEVER: a Large-scale Dataset for Fact Extraction and VERification](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,207 citations*
4. **[Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2018 · 1,186 citations*
5. **[A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.*2018 · 1,022 citations*
6. **[A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/nguyen-2018-novel-embedding-model-knowledge-base/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, et al.*2018 · 944 citations*
7. **[Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mohit Iyyer, John Wieting, Kevin Gimpel, et al.*2018 · 937 citations*
8. **[Gender Bias in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.*2018 · 852 citations*
9. **[Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features](https://md.research.elamur.ai/free/en/papers/pagliardini-2018-unsupervised-learning-sentence-embeddings-compositional/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Matteo Pagliardini, Prakhar Gupta, Martin Jaggi*2018 · 842 citations*
10. **[The Web as a Knowledge-Base for Answering Complex Questions](https://md.research.elamur.ai/free/en/papers/talmor-2018-web-as-knowledge-base-answering/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Alon Talmor, Jonathan Berant*2018 · 814 citations*
11. **[Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sosuke Kobayashi*2018 · 807 citations*
12. **[Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 785 citations*
13. **[Colorless Green Recurrent Networks Dream Hierarchically](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al.*2018 · 760 citations*
14. **[Explainable Prediction of Medical Codes from Clinical Text](https://md.research.elamur.ai/free/en/papers/mullenbach-2018-explainable-prediction-medical-codes-clinical/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**James Mullenbach, Sarah Wiegreffe, Jon Duke, et al.*2018 · 719 citations*
15. [**Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences**Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.*2018 · 671 citations*](https://md.research.elamur.ai/free/en/papers/khashabi-2018-looking-beyond-surface-challenge-set/)
16. **[Slot-Gated Modeling for Joint Slot Filling and Intent Prediction](https://md.research.elamur.ai/free/en/papers/goo-2018-slot-gated-modeling-joint-slot/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, et al.*2018 · 655 citations*
17. **[Higher-Order Coreference Resolution with Coarse-to-Fine Inference](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kenton Lee, Luheng He, Luke Zettlemoyer*2018 · 614 citations*
18. [**Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer**Sudha Rao, Joel Tetreault*2018 · 582 citations*](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/)
19. **[Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.*2018 · 542 citations*
20. **[When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 468 citations*
21. **[Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings](https://md.research.elamur.ai/free/en/papers/song-2018-directional-skip-gram-explicitly-distinguishing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yan Song, Shuming Shi, Jing Li, et al.*2018 · 442 citations*
22. **[Deep Communicating Agents for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 438 citations*
23. **[Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Matt Post, David Vilar*2018 · 437 citations*
24. **[Construction of the Literature Graph in Semantic Scholar](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.*2018 · 398 citations*
25. **[A Neural Layered Model for Nested Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Meizhi Ju, Makoto Miwa, Sophia Ananiadou*2018 · 378 citations*

[See all 66 works in NAACL 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl/2018/works/)

## Top topics

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

[Machine translation (10)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [English (7)](https://md.research.elamur.ai/free/en/topics/english/) · [Coreference resolution (6)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Evaluation & benchmarks (5)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Summarization (4)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Sentiment & emotion (3)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Dialogue systems (3)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning (3)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Semantic parsing & meaning representation (3)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Named entity recognition (2)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Discourse analysis (2)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Universal Dependencies (2)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

**14 more topics**

[Knowledge graphs & ontologies (2)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Bias, fairness & safety (2)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Semantic role labeling (1)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Lexical semantics & word embeddings (1)](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Historical linguistics & language change (1)](https://md.research.elamur.ai/free/en/topics/language-change/)

## Fields

[Computer Science (66)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (63)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology (4)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Social Sciences (4)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (2)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [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.

[🧑‍🔬**Luke Zettlemoyer**4 works here · 16,515 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Mohit Iyyer**2 works here · 15,789 citations](https://md.research.elamur.ai/free/en/authors/mohit-iyyer/) · [🧑‍🔬**Kenton Lee**2 works here · 15,466 citations](https://md.research.elamur.ai/free/en/authors/kenton-lee/) · [🧑‍🔬**Jonathan Berant**2 works here · 1,042 citations](https://md.research.elamur.ai/free/en/authors/jonathan-berant/) · [🧑‍🔬**Benjamin Van Durme**2 works here · 963 citations](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) · [🧑‍🔬**Rachel Rudinger**2 works here · 963 citations](https://md.research.elamur.ai/free/en/authors/rachel-rudinger/) · [🧑‍🔬**Luheng He**2 works here · 726 citations](https://md.research.elamur.ai/free/en/authors/luheng-he/) · [🧑‍🔬**Sebastian Kohlmeier**2 works here · 673 citations](https://md.research.elamur.ai/free/en/authors/sebastian-kohlmeier/) · [🧑‍🔬**Waleed Ammar**2 works here · 673 citations](https://md.research.elamur.ai/free/en/authors/waleed-ammar/) · [🧑‍🔬**Graham Neubig**2 works here · 654 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Bing Liu**2 works here · 393 citations](https://md.research.elamur.ai/free/en/authors/bing-liu/) · [🧑‍🔬**Dilek Hakkani-Tur**2 works here · 393 citations](https://md.research.elamur.ai/free/en/authors/dilek-hakkani-tur/)

## Top institutions

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

[🏢**Google** Mountain View · United States 8 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 8 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Washington** Seattle · United States 7 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 7 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Johns Hopkins University** Baltimore · United States 5 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🏢**Amazon** Seattle · United States 4 works here](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**University of Cambridge** Cambridge · United Kingdom 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🎓**Georgetown University** Washington · United States 3 works here](https://md.research.elamur.ai/free/en/universities/georgetown-university/) · [🎓**Hamad bin Khalifa University** Doha · Qatar 3 works here](https://md.research.elamur.ai/free/en/universities/hamad-bin-khalifa-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 3 works here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Microsoft** Redmond · United States 2 works here](https://md.research.elamur.ai/free/en/companies/microsoft/)

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

- [← previous NAACL 2016](https://md.research.elamur.ai/free/en/venues/naacl/2016/)
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