---
title: "EMNLP 2019 — accepted papers — Elamur Research"
description: "EMNLP 2019 — accepted papers: 102 papers in the Elamur Research library (Hong Kong, China), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2019/"
---
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# EMNLP 2019 — accepted papers

EMNLP 2019 is the 2019 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Hong Kong, China, November 2019 (publisher: Association for Computational Linguistics). The ACL Anthology lists 741 papers of it in 3 tracks; our library holds 102 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**741** papers in the proceedings](#all) · [**102** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2019/works/) · [**54,049** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2019/works/)**Hong Kong, China** where it was held**November 2019** when

## Tracks

Main 690System Demonstrations 44Tutorial Abstracts 7

## Awards

As the ACL Anthology records them.

1. **[Designing and Interpreting Probes with Control Tasks](https://aclanthology.org/D19-1275/)**John Hewitt, Percy Liang · 🏆 Best Paper Runner-Up*387 citations*
2. **[The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/)**Francisco Guzmán, Peng-Jen Chen, Myle Ott et al. · 🏆 Best Resource Paper*203 citations · our summary*
3. **[AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models](https://md.research.elamur.ai/free/en/papers/wallace-2019-allennlp-interpret-framework-explaining-predictions/)**Eric Wallace, Jens Tuyls, Junlin Wang et al. · System Demonstrations · 🏆 Best Demo paper*115 citations · our summary*
4. **[Specializing Word Embeddings (for Parsing) by Information Bottleneck](https://aclanthology.org/D19-1276/)**Xiang Lisa Li, Jason Eisner · 🏆 Best Paper*61 citations*

## Most cited papers

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

1. **[Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://md.research.elamur.ai/free/en/papers/reimers-2019-sentence-bert-sentence-embeddings-siamese/)**Nils Reimers, Iryna Gurevych*12,168 citations · our summary*
2. **[SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/)**Iz Beltagy, Kyle Lo, Arman Cohan*3,040 citations · our summary*
3. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/)**Hao Tan, Mohit Bansal*2,248 citations · our summary*
4. **[EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks](https://aclanthology.org/D19-1670/)**Jason Wei, Kai Zou*1,911 citations*
5. **[Language Models as Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/petroni-2019-language-models-as-knowledge-bases/)**Fabio Petroni, Tim Rocktäschel, Sebastian Riedel et al.*1,766 citations · our summary*
6. **[Text Summarization with Pretrained Encoders](https://aclanthology.org/D19-1387/)**Yang Liu, Mirella Lapata*1,553 citations*
7. **[Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/)**Jianmo Ni, Jiacheng Li, Julian McAuley*1,200 citations · our summary*
8. **[Attention is not not Explanation](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/)**Sarah Wiegreffe, Yuval Pinter*907 citations · our summary*
9. **[How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings](https://aclanthology.org/D19-1006/)**Kawin Ethayarajh*819 citations*
10. **[DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/)**Deepanway Ghosal, Navonil Majumder, Soujanya Poria et al.*717 citations · our summary*

## All accepted papers (741)

The most cited first; 102 with our summary link to their page here, the others to the original.

1. **[Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://md.research.elamur.ai/free/en/papers/reimers-2019-sentence-bert-sentence-embeddings-siamese/)**Nils Reimers, Iryna Gurevych*12,168 citations · our summary*
2. **[SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/)**Iz Beltagy, Kyle Lo, Arman Cohan*3,040 citations · our summary*
3. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/)**Hao Tan, Mohit Bansal*2,248 citations · our summary*
4. **[EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks](https://aclanthology.org/D19-1670/)**Jason Wei, Kai Zou*1,911 citations*
5. **[Language Models as Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/petroni-2019-language-models-as-knowledge-bases/)**Fabio Petroni, Tim Rocktäschel, Sebastian Riedel et al.*1,766 citations · our summary*
6. **[Text Summarization with Pretrained Encoders](https://aclanthology.org/D19-1387/)**Yang Liu, Mirella Lapata*1,553 citations*
7. **[Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/)**Jianmo Ni, Jiacheng Li, Julian McAuley*1,200 citations · our summary*
8. **[Attention is not not Explanation](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/)**Sarah Wiegreffe, Yuval Pinter*907 citations · our summary*
9. **[How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings](https://aclanthology.org/D19-1006/)**Kawin Ethayarajh*819 citations*
10. **[DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/)**Deepanway Ghosal, Navonil Majumder, Soujanya Poria et al.*717 citations · our summary*
11. **[Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/zhang-2019-aspect-based-sentiment-classification-aspect/)**Chen Zhang, Qiuchi Li, Dawei Song*712 citations · our summary*
12. **[PubMedQA: A Dataset for Biomedical Research Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2019-pubmedqa-dataset-biomedical-research-question/)**Qiao Jin, Bhuwan Dhingra, Zhengping Liu et al.*657 citations · our summary*
13. **[TuckER: Tensor Factorization for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/balazevic-2019-tucker-tensor-factorization-knowledge-graph/)**Ivana Balazevic, Carl Allen, Timothy Hospedales*649 citations · our summary*
14. **[Knowledge Enhanced Contextual Word Representations](https://aclanthology.org/D19-1005/)**Matthew E. Peters, Mark Neumann, Robert Logan et al.*643 citations*
15. **[Patient Knowledge Distillation for BERT Model Compression](https://md.research.elamur.ai/free/en/papers/sun-2019-patient-knowledge-distillation-bert-model/)**Siqi Sun, Yu Cheng, Zhe Gan et al.*631 citations · our summary*
16. **[Universal Adversarial Triggers for Attacking and Analyzing NLP](https://aclanthology.org/D19-1221/)**Eric Wallace, Shi Feng, Nikhil Kandpal et al.*611 citations*
17. **[Entity, Relation, and Event Extraction with Contextualized Span Representations](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/)**David Wadden, Ulme Wennberg, Yi Luan et al.*564 citations · our summary*
18. **[Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT](https://aclanthology.org/D19-1077/)**Shijie Wu, Mark Dredze*558 citations*
19. **[Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach](https://md.research.elamur.ai/free/en/papers/yin-2019-benchmarking-zero-shot-text-classification/)**Wenpeng Yin, Jamaal Hay, Dan Roth*517 citations · our summary*
20. **[Revealing the Dark Secrets of BERT](https://md.research.elamur.ai/free/en/papers/kovaleva-2019-revealing-dark-secrets-bert/)**Olga Kovaleva, Alexey Romanov, Anna Rogers et al.*495 citations · our summary*
21. **[MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance](https://md.research.elamur.ai/free/en/papers/zhao-2019-moverscore-text-generation-evaluating-contextualized/)**Wei Zhao, Maxime Peyrard, Fei Liu et al.*477 citations · our summary*
22. **[Social IQa: Commonsense Reasoning about Social Interactions](https://aclanthology.org/D19-1454/)**Maarten Sap, Hannah Rashkin, Derek Chen et al.*473 citations*
23. **[Mask-Predict: Parallel Decoding of Conditional Masked Language Models](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2019-mask-predict-parallel-decoding-conditional/)**Marjan Ghazvininejad, Omer Levy, Yinhan Liu et al.*454 citations · our summary*
24. **[KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning](https://aclanthology.org/D19-1282/)**Bill Yuchen Lin, Xinyue Chen, Jamin Chen et al.*452 citations*
25. **[Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree](https://md.research.elamur.ai/free/en/papers/sun-2019-aspect-level-sentiment-analysis-convolution/)**Kai Sun, Richong Zhang, Samuel Mensah et al.*430 citations · our summary*

[See all 741 papers in EMNLP 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2019/papers/)

## Papers with our summary in our library (102)

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

1. **[Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://md.research.elamur.ai/free/en/papers/reimers-2019-sentence-bert-sentence-embeddings-siamese/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nils Reimers, Iryna Gurevych*2019 · 17,026 citations*
2. **[SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Iz Beltagy, Kyle Lo, Arman Cohan*2019 · 3,567 citations*
3. **[Language Models as Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/petroni-2019-language-models-as-knowledge-bases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.*2019 · 2,992 citations*
4. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Tan, Mohit Bansal*2019 · 2,730 citations*
5. **[Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jianmo Ni, Jiacheng Li, Julian McAuley*2019 · 1,424 citations*
6. **[Attention is not not Explanation](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sarah Wiegreffe, Yuval Pinter*2019 · 1,196 citations*
7. **[PubMedQA: A Dataset for Biomedical Research Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2019-pubmedqa-dataset-biomedical-research-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qiao Jin, Bhuwan Dhingra, Zhengping Liu, et al.*2019 · 1,160 citations*
8. **[DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Deepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.*2019 · 852 citations*
9. **[MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance](https://md.research.elamur.ai/free/en/papers/zhao-2019-moverscore-text-generation-evaluating-contextualized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Zhao, Maxime Peyrard, Fei Liu, et al.*2019 · 829 citations*
10. **[Entity, Relation, and Event Extraction with Contextualized Span Representations](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Wadden, Ulme Wennberg, Yi Luan, et al.*2019 · 821 citations*
11. **[Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks](https://md.research.elamur.ai/free/en/papers/zhang-2019-aspect-based-sentiment-classification-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chen Zhang, Qiuchi Li, Dawei Song*2019 · 808 citations*
12. **[The Woman Worked as a Babysitter: On Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.*2019 · 753 citations*
13. **[Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach](https://md.research.elamur.ai/free/en/papers/yin-2019-benchmarking-zero-shot-text-classification/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenpeng Yin, Jamaal Hay, Dan Roth*2019 · 731 citations*
14. **[Mask-Predict: Parallel Decoding of Conditional Masked Language Models](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2019-mask-predict-parallel-decoding-conditional/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Marjan Ghazvininejad, Omer Levy, Yinhan Liu, et al.*2019 · 671 citations*
15. **[Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 558 citations*
16. [**Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.*2019 · 539 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)
17. **[Simple, Scalable Adaptation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bapna-2019-simple-scalable-adaptation-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ankur Bapna, Orhan Firat*2019 · 526 citations*
18. **[Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree](https://md.research.elamur.ai/free/en/papers/sun-2019-aspect-level-sentiment-analysis-convolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Sun, Richong Zhang, Samuel Mensah, et al.*2019 · 498 citations*
19. **[BERT for Coreference Resolution: Baselines and Analysis](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mandar Joshi, Omer Levy, Luke Zettlemoyer, et al.*2019 · 490 citations*
20. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 414 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
21. **[Commonsense Knowledge Mining from Pretrained Models](https://md.research.elamur.ai/free/en/papers/davison-2019-commonsense-knowledge-mining-pretrained-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Joe Davison, Joshua Feldman, Alexander Rush*2019 · 413 citations*
22. **[Multilingual and Multi-Aspect Hate Speech Analysis](https://md.research.elamur.ai/free/en/papers/ousidhoum-2019-multilingual-multi-aspect-hate-speech/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, et al.*2019 · 410 citations*
23. **[A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/jiang-2019-challenge-dataset-effective-models-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingnan Jiang, Lei Chen, Ruifeng Xu, et al.*2019 · 395 citations*
24. **[A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding](https://md.research.elamur.ai/free/en/papers/qin-2019-stack-propagation-framework-token-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Libo Qin, Wanxiang Che, Yangming Li, et al.*2019 · 385 citations*
25. **[Fine-Grained Analysis of Propaganda in News Articles](https://md.research.elamur.ai/free/en/papers/martino-2019-fine-grained-analysis-propaganda-news/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, et al.*2019 · 379 citations*

[See all 102 works in EMNLP 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2019/works/)

## Top topics

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

[Sentiment & emotion (14)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Machine translation (11)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Coreference resolution (7)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Question answering (7)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining (6)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems (6)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Multilingual & cross-lingual NLP (6)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [English (6)](https://md.research.elamur.ai/free/en/topics/english/) · [Reasoning (5)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Discourse analysis (4)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Information extraction (4)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Low-resource languages (4)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Evaluation & benchmarks (4)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety (4)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Summarization (3)](https://md.research.elamur.ai/free/en/topics/summarization/)

**18 more topics**

[Dependency parsing (2)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Universal Dependencies (2)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Morphology (2)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Information retrieval & search (2)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Semantic parsing & meaning representation (2)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Word sense disambiguation (1)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Semantic role labeling (1)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [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/) · [Hebrew & Aramaic (1)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [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/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Biblical Hebrew (1)](https://md.research.elamur.ai/free/en/topics/biblical-hebrew/) · [Modern Hebrew (1)](https://md.research.elamur.ai/free/en/topics/modern-hebrew/)

## Fields

[Computer Science (102)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (97)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (8)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (4)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Biochemistry, Genetics and Molecular Biology (1)](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.

[🧑‍🔬**Mohit Bansal**3 works here · 3,093 citations](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) · [🧑‍🔬**Luke Zettlemoyer**3 works here · 1,394 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Graham Neubig**3 works here · 384 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Iryna Gurevych**2 works here · 17,149 citations](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) · [🧑‍🔬**Omer Levy**2 works here · 1,161 citations](https://md.research.elamur.ai/free/en/authors/omer-levy/) · [🧑‍🔬**Hannaneh Hajishirzi**2 works here · 1,054 citations](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) · [🧑‍🔬**Christian M. Meyer**2 works here · 952 citations](https://md.research.elamur.ai/free/en/authors/christian-m-meyer/) · [🧑‍🔬**Yang Gao**2 works here · 952 citations](https://md.research.elamur.ai/free/en/authors/yang-gao/) · [🧑‍🔬**Caiming Xiong**2 works here · 733 citations](https://md.research.elamur.ai/free/en/authors/caiming-xiong/) · [🧑‍🔬**Richard Socher**2 works here · 733 citations](https://md.research.elamur.ai/free/en/authors/richard-socher/) · [🧑‍🔬**Ankur Bapna**2 works here · 701 citations](https://md.research.elamur.ai/free/en/authors/ankur-bapna/) · [🧑‍🔬**Orhan Firat**2 works here · 701 citations](https://md.research.elamur.ai/free/en/authors/orhan-firat/)

## Top institutions

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

[🏢**Meta** Menlo Park · United States 9 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**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/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 7 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🏢**Microsoft** Redmond · United States 5 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Washington** Seattle · United States 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🏢**IBM** Armonk · United States 3 works here](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**Johns Hopkins University** Baltimore · United States 3 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 3 works here](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Harbin Institute of Technology** Harbin · China 3 works here](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Cornell University** Ithaca · United States 3 works here](https://md.research.elamur.ai/free/en/universities/cornell-university/)

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

- [← previous EMNLP 2018](https://md.research.elamur.ai/free/en/venues/emnlp/2018/)
- [next → EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/)
- [↑ back to EMNLP](https://md.research.elamur.ai/free/en/venues/emnlp/)