---
title: "EMNLP 2016 — accepted papers — Elamur Research"
description: "EMNLP 2016 — accepted papers: 57 papers in the Elamur Research library (Austin, Texas), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2016/"
---
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# EMNLP 2016 — accepted papers

EMNLP 2016 is the 2016 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Austin, Texas, November 2016 (publisher: Association for Computational Linguistics). The ACL Anthology lists 270 papers of it in 2 tracks; our library holds 57 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Austin, Texas · 🗓 November 2016

[**270** papers in the proceedings](#all) · [**57** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2016/works/) · [**35,825** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2016/works/)

## Tracks

Main 264Tutorial Abstracts 6

## Awards

As the ACL Anthology records them.

1. **[SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/)**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al. · 🏆 ACL 2026 Test of Time Award*6,190 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. **[SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/)**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al. · 🏆 ACL 2026 Test of Time Award*6,190 citations · our summary*
2. **[Attention-based LSTM for Aspect-level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/)**Yequan Wang, Minlie Huang, Xiaoyan Zhu et al.*2,348 citations · our summary*
3. **[Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/)**Akira Fukui, Dong Huk Park, Daylen Yang et al.*1,544 citations · our summary*
4. **[A Decomposable Attention Model for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/parikh-2016-decomposable-attention-model-natural-language/)**Ankur Parikh, Oscar Täckström, Dipanjan Das et al.*1,296 citations · our summary*
5. **[How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation](https://md.research.elamur.ai/free/en/papers/liu-2016-how-not-evaluate-your-dialogue/)**Chia-Wei Liu, Ryan Lowe, Iulian Serban et al.*1,228 citations · our summary*
6. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/)**Jiwei Li, Will Monroe, Alan Ritter et al.*1,204 citations · our summary*
7. **[Long Short-Term Memory-Networks for Machine Reading](https://md.research.elamur.ai/free/en/papers/cheng-2016-long-short-term-memory-networks/)**Jianpeng Cheng, Li Dong, Mirella Lapata*1,172 citations · our summary*
8. **[Aspect Level Sentiment Classification with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/)**Duyu Tang, Bing Qin, Ting Liu*1,041 citations · our summary*
9. **[Key-Value Memory Networks for Directly Reading Documents ↗](https://aclanthology.org/D16-1147/)**Alexander Miller, Adam Fisch, Jesse Dodge et al.*996 citations*
10. **[Sequence-Level Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/)**Yoon Kim, Alexander M. Rush*819 citations · our summary*

## All accepted papers (270)

The most cited first; 57 with our summary link to their page here, the others to the original.

1. **[SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/)**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev et al. · 🏆 ACL 2026 Test of Time Award*6,190 citations · our summary*
2. **[Attention-based LSTM for Aspect-level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/)**Yequan Wang, Minlie Huang, Xiaoyan Zhu et al.*2,348 citations · our summary*
3. **[Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/)**Akira Fukui, Dong Huk Park, Daylen Yang et al.*1,544 citations · our summary*
4. **[A Decomposable Attention Model for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/parikh-2016-decomposable-attention-model-natural-language/)**Ankur Parikh, Oscar Täckström, Dipanjan Das et al.*1,296 citations · our summary*
5. **[How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation](https://md.research.elamur.ai/free/en/papers/liu-2016-how-not-evaluate-your-dialogue/)**Chia-Wei Liu, Ryan Lowe, Iulian Serban et al.*1,228 citations · our summary*
6. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/)**Jiwei Li, Will Monroe, Alan Ritter et al.*1,204 citations · our summary*
7. **[Long Short-Term Memory-Networks for Machine Reading](https://md.research.elamur.ai/free/en/papers/cheng-2016-long-short-term-memory-networks/)**Jianpeng Cheng, Li Dong, Mirella Lapata*1,172 citations · our summary*
8. **[Aspect Level Sentiment Classification with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/)**Duyu Tang, Bing Qin, Ting Liu*1,041 citations · our summary*
9. **[Key-Value Memory Networks for Directly Reading Documents ↗](https://aclanthology.org/D16-1147/)**Alexander Miller, Adam Fisch, Jesse Dodge et al.*996 citations*
10. **[Sequence-Level Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/)**Yoon Kim, Alexander M. Rush*819 citations · our summary*
11. **[Transfer Learning for Low-Resource Neural Machine Translation ↗](https://aclanthology.org/D16-1163/)**Barret Zoph, Deniz Yuret, Jonathan May et al.*788 citations*
12. **[Rationalizing Neural Predictions](https://md.research.elamur.ai/free/en/papers/lei-2016-rationalizing-neural-predictions/)**Tao Lei, Regina Barzilay, Tommi Jaakkola*684 citations · our summary*
13. **[A Neural Approach to Automated Essay Scoring](https://md.research.elamur.ai/free/en/papers/taghipour-2016-neural-approach-automated-essay-scoring/)**Kaveh Taghipour, Hwee Tou Ng*516 citations · our summary*
14. **[Sequence-to-Sequence Learning as Beam-Search Optimization ↗](https://aclanthology.org/D16-1137/)**Sam Wiseman, Alexander M. Rush*481 citations*
15. **[Neural Text Generation from Structured Data with Application to the Biography Domain](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/)**Rémi Lebret, David Grangier, Michael Auli*444 citations · our summary*
16. **[Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2016-recursive-neural-conditional-random-fields/)**Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier et al.*435 citations · our summary*
17. **[Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? ↗](https://aclanthology.org/D16-1092/)**Abhishek Das, Harsh Agrawal, Larry Zitnick et al.*427 citations*
18. **[Stance Detection with Bidirectional Conditional Encoding](https://md.research.elamur.ai/free/en/papers/augenstein-2016-stance-detection-bidirectional-conditional-encoding/)**Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos et al.*381 citations · our summary*
19. **[Learning principled bilingual mappings of word embeddings while preserving monolingual invariance](https://md.research.elamur.ai/free/en/papers/artetxe-2016-learning-principled-bilingual-mappings-word/)**Mikel Artetxe, Gorka Labaka, Eneko Agirre*369 citations · our summary*
20. **[Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/)**William L. Hamilton, Kevin Clark, Jure Leskovec et al.*355 citations · our summary*
21. **[Neural Sentiment Classification with User and Product Attention ↗](https://aclanthology.org/D16-1171/)**Huimin Chen, Maosong Sun, Cunchao Tu et al.*339 citations*
22. **[Deep Reinforcement Learning for Mention-Ranking Coreference Models](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/)**Kevin Clark, Christopher D. Manning*328 citations · our summary*
23. **[Neural versus Phrase-Based Machine Translation Quality: a Case Study](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/)**Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo et al.*316 citations · our summary*
24. **[A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/D16-1103/)**Sebastian Ruder, Parsa Ghaffari, John G. Breslin*304 citations*
25. **[Does String-Based Neural MT Learn Source Syntax?](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/)**Xing Shi, Inkit Padhi, Kevin Knight*300 citations · our summary*

[See all 270 papers in EMNLP 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2016/papers/)

## Papers with our summary in our library (57)

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

1. **[SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.*2016 · 9,513 citations*
2. **[Attention-based LSTM for Aspect-level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.*2016 · 2,619 citations*
3. **[How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation](https://md.research.elamur.ai/free/en/papers/liu-2016-how-not-evaluate-your-dialogue/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chia-Wei Liu, Ryan Lowe, Iulian Serban, et al.*2016 · 1,744 citations*
4. **[Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Akira Fukui, Dong Huk Park, Daylen Yang, et al.*2016 · 1,653 citations*
5. **[A Decomposable Attention Model for Natural Language Inference](https://md.research.elamur.ai/free/en/papers/parikh-2016-decomposable-attention-model-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ankur Parikh, Oscar Täckström, Dipanjan Das, et al.*2016 · 1,601 citations*
6. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Alan Ritter, et al.*2016 · 1,495 citations*
7. **[Sequence-Level Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yoon Kim, Alexander M. Rush*2016 · 1,445 citations*
8. **[Long Short-Term Memory-Networks for Machine Reading](https://md.research.elamur.ai/free/en/papers/cheng-2016-long-short-term-memory-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jianpeng Cheng, Li Dong, Mirella Lapata*2016 · 1,307 citations*
9. **[Aspect Level Sentiment Classification with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Duyu Tang, Bing Qin, Ting Liu*2016 · 1,194 citations*
10. **[Rationalizing Neural Predictions](https://md.research.elamur.ai/free/en/papers/lei-2016-rationalizing-neural-predictions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Lei, Regina Barzilay, Tommi Jaakkola*2016 · 935 citations*
11. **[Neural Text Generation from Structured Data with Application to the Biography Domain](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Remi Lebret, David Grangier, Michael Auli*2016 · 697 citations*
12. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 668 citations*
13. **[A Neural Approach to Automated Essay Scoring](https://md.research.elamur.ai/free/en/papers/taghipour-2016-neural-approach-automated-essay-scoring/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kaveh Taghipour, Hwee Tou Ng*2016 · 652 citations*
14. **[Learning principled bilingual mappings of word embeddings while preserving monolingual invariance](https://md.research.elamur.ai/free/en/papers/artetxe-2016-learning-principled-bilingual-mappings-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2016 · 535 citations*
15. **[Stance Detection with Bidirectional Conditional Encoding](https://md.research.elamur.ai/free/en/papers/augenstein-2016-stance-detection-bidirectional-conditional-encoding/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.*2016 · 522 citations*
16. **[Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2016-recursive-neural-conditional-random-fields/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.*2016 · 515 citations*
17. **[Does String-Based Neural MT Learn Source Syntax?](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xing Shi, Inkit Padhi, Kevin Knight*2016 · 496 citations*
18. **[Demographic Dialectal Variation in Social Media: A Case Study of African-American English](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 471 citations*
19. **[Deep Reinforcement Learning for Mention-Ranking Coreference Models](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kevin Clark, Christopher D. Manning*2016 · 463 citations*
20. **[Neural versus Phrase-Based Machine Translation Quality: a Case Study](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, et al.*2016 · 437 citations*
21. **[Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William L. Hamilton, Kevin Clark, Jure Leskovec, et al.*2016 · 434 citations*
22. **[Exploiting Source-side Monolingual Data in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2016-exploiting-source-side-monolingual-data/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiajun Zhang, Chengqing Zong*2016 · 409 citations*
23. **[Analyzing the Behavior of Visual Question Answering Models](https://md.research.elamur.ai/free/en/papers/agrawal-2016-analyzing-behavior-visual-question-answering/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aishwarya Agrawal, Dhruv Batra, Devi Parikh*2016 · 360 citations*
24. **[Zero-Resource Translation with Multi-Lingual Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/firat-2016-zero-resource-translation-multi-lingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orhan Firat, Baskaran Sankaran, Yaser Al-onaizan, et al.*2016 · 352 citations*
25. **[How Transferable are Neural Networks in NLP Applications?](https://md.research.elamur.ai/free/en/papers/mou-2016-how-transferable-are-neural-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lili Mou, Zhao Meng, Rui Yan, et al.*2016 · 327 citations*

[See all 57 works in EMNLP 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2016/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/) · [Sentiment & emotion (7)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Discourse analysis (6)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [English (6)](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks (4)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Coreference resolution (3)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Dialogue systems (2)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Syntax & grammar formalisms (2)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Vision & language (2)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Dependency parsing (1)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Semantic role labeling (1)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/)

**7 more topics**

[Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Semantic parsing & meaning representation (1)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [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 (56)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (54)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences (2)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Psychology (2)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (2)](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.

[🧑‍🔬**Dan Jurafsky**3 works here · 2,254 citations](https://md.research.elamur.ai/free/en/authors/dan-jurafsky/) · [🧑‍🔬**Mohit Bansal**3 works here · 501 citations](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) · [🧑‍🔬**Jinsong Su**3 works here · 343 citations](https://md.research.elamur.ai/free/en/authors/jinsong-su/) · [🧑‍🔬**Kevin Clark**2 works here · 897 citations](https://md.research.elamur.ai/free/en/authors/kevin-clark/) · [🧑‍🔬**Jure Leskovec**2 works here · 759 citations](https://md.research.elamur.ai/free/en/authors/jure-leskovec/) · [🧑‍🔬**William L. Hamilton**2 works here · 759 citations](https://md.research.elamur.ai/free/en/authors/william-l-hamilton/) · [🧑‍🔬**Graham Neubig**2 works here · 622 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Kevin Gimpel**2 works here · 414 citations](https://md.research.elamur.ai/free/en/authors/kevin-gimpel/) · [🧑‍🔬**Biao Zhang**2 works here · 309 citations](https://md.research.elamur.ai/free/en/authors/biao-zhang/) · [🧑‍🔬**Deyi Xiong**2 works here · 309 citations](https://md.research.elamur.ai/free/en/authors/deyi-xiong/) · [🧑‍🔬**Hong Duan**2 works here · 309 citations](https://md.research.elamur.ai/free/en/authors/hong-duan/) · [🧑‍🔬**Min Zhang**2 works here · 309 citations](https://md.research.elamur.ai/free/en/authors/min-zhang/)

## Top institutions

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

[🎓**Stanford University** Stanford · United States 5 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Xiamen University** Xiamen · China 3 works here](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🏢**Google** Mountain View · United States 2 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Toyota Technological Institute at Chicago** Chicago · United States 2 works here](https://md.research.elamur.ai/free/en/universities/toyota-technological-institute-at-chicago/) · [🎓**Hebrew University of Jerusalem** Jerusalem · Israel 2 works here](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Peking University** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2 works here](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Soochow University** Suzhou · China 2 works here](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🔬**Institute of Computing Technology** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2 works here](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/)

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

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