---
title: "EMNLP 2017 — accepted papers — Elamur Research"
description: "EMNLP 2017 — accepted papers: 55 papers in the Elamur Research library (Copenhagen, Denmark), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2017/"
---
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# EMNLP 2017 — accepted papers

EMNLP 2017 is the 2017 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Copenhagen, Denmark, September 2017 (publisher: Association for Computational Linguistics). The ACL Anthology lists 351 papers of it in 3 tracks; our library holds 55 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**351** papers in the proceedings](#all) · [**55** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2017/works/) · [**24,309** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2017/works/)**Copenhagen, Denmark** where it was held**September 2017** when

## Tracks

Main 323System Demonstrations 21Tutorial Abstracts 7

## Most cited papers

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

1. **[Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/)**Amir Zadeh, Minghai Chen, Soujanya Poria et al.*1,968 citations · our summary*
2. **[Adversarial Examples for Evaluating Reading Comprehension Systems](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)**Robin Jia, Percy Liang*1,356 citations · our summary*
3. **[RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://md.research.elamur.ai/free/en/papers/lai-2017-race-large-scale-reading-comprehension/)**Guokun Lai, Qizhe Xie, Hanxiao Liu et al.*1,000 citations · our summary*
4. **[Recurrent Attention Network on Memory for Aspect Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/chen-2017-recurrent-attention-network-memory-aspect/)**Peng Chen, Zhongqian Sun, Lidong Bing et al.*995 citations · our summary*
5. **[Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/)**Diego Marcheggiani, Ivan Titov*874 citations · our summary*
6. **[Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/)**Jiwei Li, Will Monroe, Tianlin Shi et al.*873 citations · our summary*
7. **[Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/)**Hannah Rashkin, Eunsol Choi, Jin Yea Jang et al.*870 citations · our summary*
8. **[End-to-end Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)**Kenton Lee, Luheng He, Mike Lewis et al.*841 citations · our summary*
9. **[Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar et al.*815 citations · our summary*
10. **[DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning](https://aclanthology.org/D17-1060/)**Wenhan Xiong, Thien Hoang, William Yang Wang*812 citations*

## All accepted papers (351)

The most cited first; 55 with our summary link to their page here, the others to the original.

1. **[Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/)**Amir Zadeh, Minghai Chen, Soujanya Poria et al.*1,968 citations · our summary*
2. **[Adversarial Examples for Evaluating Reading Comprehension Systems](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)**Robin Jia, Percy Liang*1,356 citations · our summary*
3. **[RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://md.research.elamur.ai/free/en/papers/lai-2017-race-large-scale-reading-comprehension/)**Guokun Lai, Qizhe Xie, Hanxiao Liu et al.*1,000 citations · our summary*
4. **[Recurrent Attention Network on Memory for Aspect Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/chen-2017-recurrent-attention-network-memory-aspect/)**Peng Chen, Zhongqian Sun, Lidong Bing et al.*995 citations · our summary*
5. **[Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/)**Diego Marcheggiani, Ivan Titov*874 citations · our summary*
6. **[Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/)**Jiwei Li, Will Monroe, Tianlin Shi et al.*873 citations · our summary*
7. **[Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/)**Hannah Rashkin, Eunsol Choi, Jin Yea Jang et al.*870 citations · our summary*
8. **[End-to-end Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)**Kenton Lee, Luheng He, Mike Lewis et al.*841 citations · our summary*
9. **[Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar et al.*815 citations · our summary*
10. **[DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning](https://aclanthology.org/D17-1060/)**Wenhan Xiong, Thien Hoang, William Yang Wang*812 citations*
11. **[Position-aware Attention and Supervised Data Improve Slot Filling](https://aclanthology.org/D17-1004/)**Yuhao Zhang, Victor Zhong, Danqi Chen et al.*798 citations*
12. **[Sparse Communication for Distributed Gradient Descent](https://aclanthology.org/D17-1045/)**Alham Fikri Aji, Kenneth Heafield*556 citations*
13. **[A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/)**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka et al.*530 citations · our summary*
14. **[Challenges in Data-to-Document Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2017-challenges-data-document-generation/)**Sam Wiseman, Stuart Shieber, Alexander Rush*518 citations · our summary*
15. **[Massive Exploration of Neural Machine Translation Architectures](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/)**Denny Britz, Anna Goldie, Minh-Thang Luong et al.*482 citations · our summary*
16. **[Fast and Accurate Entity Recognition with Iterated Dilated Convolutions](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/)**Emma Strubell, Patrick Verga, David Belanger et al.*474 citations · our summary*
17. **[Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/)**Nils Reimers, Iryna Gurevych*455 citations · our summary*
18. **[Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm](https://md.research.elamur.ai/free/en/papers/felbo-2017-millions-emoji-occurrences-learn-any/)**Bjarke Felbo, Alan Mislove, Anders Søgaard et al.*431 citations · our summary*
19. **[Why We Need New Evaluation Metrics for NLG](https://md.research.elamur.ai/free/en/papers/novikova-2017-why-we-need-new-evaluation/)**Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry et al.*398 citations · our summary*
20. **[Deal or No Deal? End-to-End Learning of Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/lewis-2017-deal-or-no-deal-end/)**Mike Lewis, Denis Yarats, Yann Dauphin et al.*337 citations · our summary*
21. **[Sentence Simplification with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2017-sentence-simplification-deep-reinforcement-learning/)**Xingxing Zhang, Mirella Lapata*331 citations · our summary*
22. **[Deep Neural Solver for Math Word Problems](https://aclanthology.org/D17-1088/)**Yan Wang, Xiaojiang Liu, Shuming Shi*329 citations*
23. **[Deep Joint Entity Disambiguation with Local Neural Attention](https://aclanthology.org/D17-1277/)**Octavian-Eugen Ganea, Thomas Hofmann*327 citations*
24. **[DOC: Deep Open Classification of Text Documents](https://aclanthology.org/D17-1314/)**Lei Shu, Hu Xu, Bing Liu*326 citations*
25. **[Depression and Self-Harm Risk Assessment in Online Forums](https://md.research.elamur.ai/free/en/papers/yates-2017-depression-self-harm-risk-assessment/)**Andrew Yates, Arman Cohan, Nazli Goharian*323 citations · our summary*

[See all 351 papers in EMNLP 2017 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2017/papers/)

## Papers with our summary in our library (55)

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

1. **[Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Amir Zadeh, Minghai Chen, Soujanya Poria, et al.*2017 · 2,113 citations*
2. [**Adversarial Examples for Evaluating Reading Comprehension Systems**Robin Jia, Percy Liang*2017 · 1,942 citations*](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)
3. [**RACE: Large-scale ReAding Comprehension Dataset From Examinations**Guokun Lai, Qizhe Xie, Hanxiao Liu, et al.*2017 · 1,629 citations*](https://md.research.elamur.ai/free/en/papers/lai-2017-race-large-scale-reading-comprehension/)
4. [**End-to-end Neural Coreference Resolution**Kenton Lee, Luheng He, Mike Lewis, et al.*2017 · 1,280 citations*](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/)
5. **[Recurrent Attention Network on Memory for Aspect Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/chen-2017-recurrent-attention-network-memory-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peng Chen, Zhongqian Sun, Lidong Bing, et al.*2017 · 1,117 citations*
6. **[Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/marcheggiani-2017-encoding-sentences-graph-convolutional-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Diego Marcheggiani, Ivan Titov*2017 · 1,104 citations*
7. **[Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.*2017 · 1,074 citations*
8. **[Adversarial Learning for Neural Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2017-adversarial-learning-neural-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Tianlin Shi, et al.*2017 · 1,058 citations*
9. **[Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2017 · 1,032 citations*
10. **[Challenges in Data-to-Document Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2017-challenges-data-document-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart M. Shieber, Alexander M. Rush*2017 · 850 citations*
11. **[Supervised Learning of Universal Sentence Representations from Natural Language Inference Data](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexis Conneau, Douwe Kiela, Holger Schwenk, et al.*2017 · 784 citations*
12. **[Why We Need New Evaluation Metrics for NLG](https://md.research.elamur.ai/free/en/papers/novikova-2017-why-we-need-new-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, et al.*2017 · 688 citations*
13. **[Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nils Reimers, Iryna Gurevych*2017 · 650 citations*
14. **[Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm](https://md.research.elamur.ai/free/en/papers/felbo-2017-millions-emoji-occurrences-learn-any/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bjarke Felbo, Alan Mislove, Anders Søgaard, et al.*2017 · 621 citations*
15. **[Massive Exploration of Neural Machine Translation Architectures](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Denny Britz, Anna Goldie, Minh-Thang Luong, et al.*2017 · 568 citations*
16. **[Sentence Simplification with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2017-sentence-simplification-deep-reinforcement-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingxing Zhang, Mirella Lapata*2017 · 568 citations*
17. **[Fast and Accurate Entity Recognition with Iterated Dilated Convolutions](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emma Strubell, Patrick Verga, David Belanger, et al.*2017 · 546 citations*
18. **[ParlAI: A Dialog Research Software Platform](https://md.research.elamur.ai/free/en/papers/miller-2017-parlai-dialog-research-software-platform/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexander Miller, Will Feng, Dhruv Batra, et al.*2017 · 488 citations*
19. **[Deal or No Deal? End-to-End Learning of Negotiation Dialogues](https://md.research.elamur.ai/free/en/papers/lewis-2017-deal-or-no-deal-end/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mike Lewis, Denis Yarats, Yann Dauphin, et al.*2017 · 421 citations*
20. **[Depression and Self-Harm Risk Assessment in Online Forums](https://md.research.elamur.ai/free/en/papers/yates-2017-depression-self-harm-risk-assessment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andrew Yates, Arman Cohan, Nazli Goharian*2017 · 402 citations*
21. **[Question Generation for Question Answering](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 370 citations*
22. **[Unsupervised Pretraining for Sequence to Sequence Learning](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Prajit Ramachandran, Peter Liu, Quoc Le*2017 · 318 citations*
23. **[Entity Linking via Joint Encoding of Types, Descriptions, and Context](https://md.research.elamur.ai/free/en/papers/gupta-2017-entity-linking-joint-encoding-types/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nitish Gupta, Sameer Singh, Dan Roth*2017 · 298 citations*
24. **[Exploiting Cross-Sentence Context for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Zhaopeng Tu, Andy Way, et al.*2017 · 291 citations*
25. **[Learning to Paraphrase for Question Answering](https://md.research.elamur.ai/free/en/papers/dong-2017-learning-paraphrase-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Li Dong, Jonathan Mallinson, Siva Reddy, et al.*2017 · 285 citations*

[See all 55 works in EMNLP 2017 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2017/works/)

## Top topics

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

[Machine translation (8)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [English (8)](https://md.research.elamur.ai/free/en/topics/english/) · [Coreference resolution (6)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Discourse analysis (5)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Sentiment & emotion (5)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Dialogue systems (5)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Question answering (4)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Named entity recognition (3)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Semantic role labeling (3)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech act theory (2)](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language (2)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/)

**8 more topics**

[Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [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/) · [Semantic parsing & meaning representation (1)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Historical linguistics & language change (1)](https://md.research.elamur.ai/free/en/topics/language-change/)

## Fields

[Computer Science (54)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (49)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (5)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (3)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

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

[🧑‍🔬**Mirella Lapata**3 works here · 897 citations](https://md.research.elamur.ai/free/en/authors/mirella-lapata/) · [🧑‍🔬**Mike Lewis**2 works here · 1,701 citations](https://md.research.elamur.ai/free/en/authors/mike-lewis/) · [🧑‍🔬**Peng Chen**2 works here · 1,487 citations](https://md.research.elamur.ai/free/en/authors/peng-chen/) · [🧑‍🔬**Diego Marcheggiani**2 works here · 1,296 citations](https://md.research.elamur.ai/free/en/authors/diego-marcheggiani/) · [🧑‍🔬**Ivan Titov**2 works here · 1,296 citations](https://md.research.elamur.ai/free/en/authors/ivan-titov/) · [🧑‍🔬**Antoine Bordes**2 works here · 1,272 citations](https://md.research.elamur.ai/free/en/authors/antoine-bordes/) · [🧑‍🔬**Yejin Choi**2 works here · 1,215 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Dan Jurafsky**2 works here · 1,205 citations](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/) · [🧑‍🔬**Jiwei Li**2 works here · 1,205 citations](https://md.research.elamur.ai/free/en/authors/jiwei-li/) · [🧑‍🔬**Devi Parikh**2 works here · 909 citations](https://md.research.elamur.ai/free/en/authors/devi-parikh/) · [🧑‍🔬**Dhruv Batra**2 works here · 909 citations](https://md.research.elamur.ai/free/en/authors/dhruv-batra/) · [🧑‍🔬**Quoc V. Le**2 works here · 886 citations](https://md.research.elamur.ai/free/en/authors/quoc-v-le/)

## Top institutions

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

[🎓**University of Edinburgh** Edinburgh · United Kingdom 7 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🏢**Google** Mountain View · United States 6 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Meta** Menlo Park · United States 5 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University of Washington** Seattle · United States 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 4 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Stanford University** Stanford · United States 4 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**Tencent** Shenzhen · China 3 works here](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) · [🎓**Harbin Institute of Technology** Harbin · China 2 works here](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Heidelberg University** Heidelberg · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/heidelberg-university/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/)

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

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