---
title: "EMNLP 2018 — accepted papers — Elamur Research"
description: "EMNLP 2018 — accepted papers: 89 papers in the Elamur Research library (Brussels, Belgium), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2018/"
---
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# EMNLP 2018 — accepted papers

EMNLP 2018 is the 2018 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Brussels, Belgium, October 2018 (publisher: Association for Computational Linguistics). The ACL Anthology lists 584 papers of it in 3 tracks; our library holds 89 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**584** papers in the proceedings](#all) · [**89** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2018/works/) · [**39,351** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2018/works/)**Brussels, Belgium** where it was held**October 2018** when

## Tracks

Main 549System Demonstrations 29Tutorial 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. **[SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/)**Taku Kudo, John Richardson · System Demonstrations*2,869 citations · our summary*
2. **[HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/)**Zhilin Yang, Peng Qi, Saizheng Zhang et al.*1,735 citations · our summary*
3. **[Universal Sentence Encoder for English](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder-english/)**Daniel Cer, Yinfei Yang, Sheng-yi Kong et al. · System Demonstrations*1,277 citations · our summary*
4. **[Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization](https://aclanthology.org/D18-1206/)**Shashi Narayan, Shay B. Cohen, Mirella Lapata*1,171 citations*
5. **[MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling](https://aclanthology.org/D18-1547/)**Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng et al.*1,002 citations*
6. **[Understanding Back-Translation at Scale](https://aclanthology.org/D18-1045/)**Sergey Edunov, Myle Ott, Michael Auli et al.*993 citations*
7. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/)**Tao Yu, Rui Zhang, Kai Yang et al.*980 citations · our summary*
8. **[XNLI: Evaluating Cross-lingual Sentence Representations](https://aclanthology.org/D18-1269/)**Alexis Conneau, Ruty Rinott, Guillaume Lample et al.*915 citations*
9. **[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/)**Yuhao Zhang, Peng Qi, Christopher D. Manning*847 citations · our summary*
10. **[Generating Natural Language Adversarial Examples](https://md.research.elamur.ai/free/en/papers/alzantot-2018-generating-natural-language-adversarial-examples/)**Moustafa Alzantot, Yash Sharma, Ahmed Elgohary et al.*787 citations · our summary*

## All accepted papers (584)

The most cited first; 89 with our summary link to their page here, the others to the original.

1. **[SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/)**Taku Kudo, John Richardson · System Demonstrations*2,869 citations · our summary*
2. **[HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/)**Zhilin Yang, Peng Qi, Saizheng Zhang et al.*1,735 citations · our summary*
3. **[Universal Sentence Encoder for English](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder-english/)**Daniel Cer, Yinfei Yang, Sheng-yi Kong et al. · System Demonstrations*1,277 citations · our summary*
4. **[Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization](https://aclanthology.org/D18-1206/)**Shashi Narayan, Shay B. Cohen, Mirella Lapata*1,171 citations*
5. **[MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling](https://aclanthology.org/D18-1547/)**Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng et al.*1,002 citations*
6. **[Understanding Back-Translation at Scale](https://aclanthology.org/D18-1045/)**Sergey Edunov, Myle Ott, Michael Auli et al.*993 citations*
7. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/)**Tao Yu, Rui Zhang, Kai Yang et al.*980 citations · our summary*
8. **[XNLI: Evaluating Cross-lingual Sentence Representations](https://aclanthology.org/D18-1269/)**Alexis Conneau, Ruty Rinott, Guillaume Lample et al.*915 citations*
9. **[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/)**Yuhao Zhang, Peng Qi, Christopher D. Manning*847 citations · our summary*
10. **[Generating Natural Language Adversarial Examples](https://md.research.elamur.ai/free/en/papers/alzantot-2018-generating-natural-language-adversarial-examples/)**Moustafa Alzantot, Yash Sharma, Ahmed Elgohary et al.*787 citations · our summary*
11. **[SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference](https://aclanthology.org/D18-1009/)**Rowan Zellers, Yonatan Bisk, Roy Schwartz et al.*690 citations*
12. **[Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/)**Yi Luan, Luheng He, Mari Ostendorf et al.*673 citations · our summary*
13. **[Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/)**Sebastian Gehrmann, Yuntian Deng, Alexander Rush*667 citations · our summary*
14. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/)**Eunsol Choi, He He, Mohit Iyyer et al.*667 citations · our summary*
15. **[Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering](https://aclanthology.org/D18-1260/)**Todor Mihaylov, Peter Clark, Tushar Khot et al.*649 citations*
16. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/)**Zhichun Wang, Qingsong Lv, Xiaohan Lan et al.*622 citations · our summary*
17. **[Phrase-Based & Neural Unsupervised Machine Translation](https://aclanthology.org/D18-1549/)**Guillaume Lample, Myle Ott, Alexis Conneau et al.*615 citations*
18. **[FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation](https://aclanthology.org/D18-1514/)**Xu Han, Hao Zhu, Pengfei Yu et al.*613 citations*
19. **[Learning Sequence Encoders for Temporal Knowledge Graph Completion](https://aclanthology.org/D18-1516/)**Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert*588 citations*
20. **[TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/)**Jie Lei, Licheng Yu, Mohit Bansal et al.*527 citations · our summary*
21. **[Multi-grained Attention Network for Aspect-Level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/fan-2018-multi-grained-attention-network-aspect/)**Feifan Fan, Yansong Feng, Dongyan Zhao*520 citations · our summary*
22. **[HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding](https://aclanthology.org/D18-1225/)**Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar*483 citations*
23. **[Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text](https://aclanthology.org/D18-1455/)**Haitian Sun, Bhuwan Dhingra, Manzil Zaheer et al.*466 citations*
24. **[ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/)**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea et al.*452 citations · our summary*
25. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer et al.*426 citations · our summary*

[See all 584 papers in EMNLP 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2018/papers/)

## Papers with our summary in our library (89)

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

1. **[SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing](https://md.research.elamur.ai/free/en/papers/kudo-2018-sentencepiece-simple-language-independent-subword/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taku Kudo, John Richardson*2018 · 4,471 citations*
2. **[HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhilin Yang, Peng Qi, Saizheng Zhang, et al.*2018 · 3,495 citations*
3. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,584 citations*
4. **[Universal Sentence Encoder for English](https://md.research.elamur.ai/free/en/papers/cer-2018-universal-sentence-encoder-english/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.*2018 · 1,545 citations*
5. **[Generating Natural Language Adversarial Examples](https://md.research.elamur.ai/free/en/papers/alzantot-2018-generating-natural-language-adversarial-examples/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, et al.*2018 · 1,104 citations*
6. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,062 citations*
7. **[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2018-graph-convolution-over-pruned-dependency/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuhao Zhang, Peng Qi, Christopher D. Manning*2018 · 1,049 citations*
8. **[Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sebastian Gehrmann, Yuntian Deng, Alexander Rush*2018 · 944 citations*
9. **[Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 937 citations*
10. **[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 684 citations*
11. **[TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jie Lei, Licheng Yu, Mohit Bansal, et al.*2018 · 673 citations*
12. **[Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.*2018 · 619 citations*
13. **[Linguistically-Informed Self-Attention for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/strubell-2018-linguistically-informed-self-attention-semantic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emma Strubell, Patrick Verga, Daniel Andor, et al.*2018 · 601 citations*
14. **[Dissecting Contextual Word Embeddings: Architecture and Representation](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 587 citations*
15. **[Multi-grained Attention Network for Aspect-Level Sentiment Classification](https://md.research.elamur.ai/free/en/papers/fan-2018-multi-grained-attention-network-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Feifan Fan, Yansong Feng, Dongyan Zhao*2018 · 573 citations*
16. **[Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jason Lee, Elman Mansimov, Kyunghyun Cho*2018 · 551 citations*
17. **[ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.*2018 · 525 citations*
18. **[Learning Gender-Neutral Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 514 citations*
19. **[Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiao Liu, Zhunchen Luo, Heyan Huang*2018 · 509 citations*
20. **[Semi-Supervised Sequence Modeling with Cross-View Training](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 491 citations*
21. **[Legal Judgment Prediction via Topological Learning](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.*2018 · 480 citations*
22. **[Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 477 citations*
23. **[Reducing Gender Bias in Abusive Language Detection](https://md.research.elamur.ai/free/en/papers/park-2018-reducing-gender-bias-abusive-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ji Ho Park, Jamin Shin, Pascale Fung*2018 · 465 citations*
24. **[Meta-Learning for Low-Resource Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiatao Gu, Yong Wang, Yun Chen, et al.*2018 · 454 citations*
25. **[CARER: Contextualized Affect Representations for Emotion Recognition](https://md.research.elamur.ai/free/en/papers/saravia-2018-carer-contextualized-affect-representations-emotion/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al.*2018 · 448 citations*

[See all 89 works in EMNLP 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2018/works/)

## Top topics

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

[Machine translation (15)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Question answering (9)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Dialogue systems (6)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Coreference resolution (5)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Sentiment & emotion (5)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Summarization (5)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Multilingual & cross-lingual NLP (5)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [English (5)](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks (4)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (4)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language (4)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Named entity recognition (3)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Semantic parsing & meaning representation (3)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Information extraction (2)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/)

**14 more topics**

[Low-resource languages (2)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [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/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

## Fields

[Computer Science (88)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (79)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (9)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (6)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (4)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/)

## Top authors

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

[🧑‍🔬**Graham Neubig**5 works here · 1,288 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Christopher D. Manning**3 works here · 5,035 citations](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) · [🧑‍🔬**Luke Zettlemoyer**3 works here · 1,847 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Peng Qi**2 works here · 4,544 citations](https://md.research.elamur.ai/free/en/authors/peng-qi/) · [🧑‍🔬**Zhilin Yang**2 works here · 3,742 citations](https://md.research.elamur.ai/free/en/authors/zhilin-yang/) · [🧑‍🔬**Wen-tau Yih**2 works here · 1,649 citations](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/) · [🧑‍🔬**Kai-Wei Chang**2 works here · 1,618 citations](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) · [🧑‍🔬**He He**2 works here · 1,295 citations](https://md.research.elamur.ai/free/en/authors/he-he/) · [🧑‍🔬**Percy Liang**2 works here · 1,295 citations](https://md.research.elamur.ai/free/en/authors/percy-liang/) · [🧑‍🔬**Eunsol Choi**2 works here · 1,260 citations](https://md.research.elamur.ai/free/en/authors/eunsol-choi/) · [🧑‍🔬**Yejin Choi**2 works here · 1,260 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Alexander M. Rush**2 works here · 1,224 citations](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/)

## Top institutions

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

[🎓**Carnegie Mellon University** Pittsburgh · United States 9 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Google** Mountain View · United States 7 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Stanford University** Stanford · United States 7 works here](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of Washington** Seattle · United States 5 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 5 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 3 works here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of Pennsylvania** Philadelphia · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🏢**Microsoft** Redmond · United States 2 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🔬**Centre National de la Recherche Scientifique** Paris · France 2 works here](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🏢**Amazon** Seattle · United States 2 works here](https://md.research.elamur.ai/free/en/companies/amazon/)

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

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