---
title: "EMNLP 2019 — all accepted papers — the most cited first"
description: "All 741 papers of EMNLP 2019 · page 1 of 8, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2019/papers/"
---
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# EMNLP 2019: all accepted papers

741 papers · page 1 of 8 · the most cited first · [← EMNLP 2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/)

**1** [2](https://md.research.elamur.ai/free/en/venues/emnlp/2019/papers/page/2/) … [8](https://md.research.elamur.ai/free/en/venues/emnlp/2019/papers/page/8/) [next →](https://md.research.elamur.ai/free/en/venues/emnlp/2019/papers/page/2/)

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*
26. **[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/)**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan et al.*419 citations · our summary*
27. **[An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction ↗](https://aclanthology.org/D19-1131/)**Stefan Larson, Anish Mahendran, Joseph J. Peper et al.*392 citations*
28. **[Designing and Interpreting Probes with Control Tasks ↗](https://aclanthology.org/D19-1275/)**John Hewitt, Percy Liang · 🏆 Best Paper Runner-Up*387 citations*
29. **[Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases ↗](https://aclanthology.org/D19-1418/)**Christopher Clark, Mark Yatskar, Luke Zettlemoyer*367 citations*
30. **[Neural News Recommendation with Multi-Head Self-Attention ↗](https://aclanthology.org/D19-1671/)**Chuhan Wu, Fangzhao Wu, Suyu Ge et al.*347 citations*
31. **[Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/)**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann et al.*331 citations · our summary*
32. **[PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text ↗](https://aclanthology.org/D19-1242/)**Haitian Sun, Tania Bedrax-Weiss, William Cohen*327 citations*
33. **[Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification ↗](https://aclanthology.org/D19-1488/)**Hu Linmei, Tianchi Yang, Chuan Shi et al.*326 citations*
34. **[Text Level Graph Neural Network for Text Classification ↗](https://aclanthology.org/D19-1345/)**Lianzhe Huang, Dehong Ma, Sujian Li et al.*314 citations*
35. **[BERT for Coreference Resolution: Baselines and Analysis](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/)**Mandar Joshi, Omer Levy, Luke Zettlemoyer et al.*312 citations · our summary*
36. **[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/)**Qingnan Jiang, Lei Chen, Ruifeng Xu et al.*306 citations · our summary*
37. **[Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks](https://md.research.elamur.ai/free/en/papers/huang-2019-syntax-aware-aspect-level-sentiment/)**Binxuan Huang, Kathleen Carley*299 citations · our summary*
38. **[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/)**Libo Qin, Wanxiang Che, Yangming Li et al.*298 citations · our summary*
39. **[Simple, Scalable Adaptation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/bapna-2019-simple-scalable-adaptation-neural-machine/)**Ankur Bapna, Orhan Firat*297 citations · our summary*
40. **[Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations](https://md.research.elamur.ai/free/en/papers/zhong-2019-knowledge-enriched-transformer-emotion-detection/)**Peixiang Zhong, Di Wang, Chunyan Miao*289 citations · our summary*
41. **[Fine-Grained Analysis of Propaganda in News Articles](https://md.research.elamur.ai/free/en/papers/martino-2019-fine-grained-analysis-propaganda-news/)**Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño et al.*284 citations · our summary*
42. **[Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets ↗](https://aclanthology.org/D19-1107/)**Mor Geva, Yoav Goldberg, Jonathan Berant*280 citations*
43. **[Multilingual and Multi-Aspect Hate Speech Analysis](https://md.research.elamur.ai/free/en/papers/ousidhoum-2019-multilingual-multi-aspect-hate-speech/)**Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang et al.*276 citations · our summary*
44. **[Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula et al.*270 citations · our summary*
45. **[Commonsense Knowledge Mining from Pretrained Models](https://md.research.elamur.ai/free/en/papers/davison-2019-commonsense-knowledge-mining-pretrained-models/)**Joe Davison, Joshua Feldman, Alexander Rush*255 citations · our summary*
46. **[A Lexicon-Based Graph Neural Network for Chinese NER ↗](https://aclanthology.org/D19-1096/)**Tao Gui, Yicheng Zou, Qi Zhang et al.*249 citations*
47. **[Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs](https://md.research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/)**Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou*241 citations · our summary*
48. **[FewRel 2.0: Towards More Challenging Few-Shot Relation Classification ↗](https://aclanthology.org/D19-1649/)**Tianyu Gao, Xu Han, Hao Zhu et al.*237 citations*
49. **[Towards Knowledge-Based Recommender Dialog System ↗](https://aclanthology.org/D19-1189/)**Qibin Chen, Junyang Lin, Yichang Zhang et al.*236 citations*
50. **[Show Your Work: Improved Reporting of Experimental Results ↗](https://aclanthology.org/D19-1224/)**Jesse Dodge, Suchin Gururangan, Dallas Card et al.*226 citations*
51. **[75 Languages, 1 Model: Parsing Universal Dependencies Universally](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)**Dan Kondratyuk, Milan Straka*225 citations · our summary*
52. **[Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/)**Eric Wallace, Yizhong Wang, Sujian Li et al.*225 citations · our summary*
53. **[Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/)**Zhiguo Wang, Patrick Ng, Xiaofei Ma et al.*224 citations · our summary*
54. **[PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification ↗](https://aclanthology.org/D19-1382/)**Yinfei Yang, Yuan Zhang, Chris Tar et al.*223 citations*
55. **[Certified Robustness to Adversarial Word Substitutions](https://md.research.elamur.ai/free/en/papers/jia-2019-certified-robustness-adversarial-word-substitutions/)**Robin Jia, Aditi Raghunathan, Kerem Göksel et al.*222 citations · our summary*
56. **[GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/)**Luyao Huang, Chi Sun, Xipeng Qiu et al.*222 citations · our summary*
57. **[Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs ↗](https://aclanthology.org/D19-1431/)**Mingyang Chen, Wen Zhang, Wei Zhang et al.*220 citations*
58. **[MoEL: Mixture of Empathetic Listeners](https://md.research.elamur.ai/free/en/papers/lin-2019-moel-mixture-empathetic-listeners/)**Zhaojiang Lin, Andrea Madotto, Jamin Shin et al.*213 citations · our summary*
59. **[Cloze-driven Pretraining of Self-attention Networks ↗](https://aclanthology.org/D19-1539/)**Alexei Baevski, Sergey Edunov, Yinhan Liu et al.*212 citations*
60. **[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*
61. **[Induction Networks for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/geng-2019-induction-networks-few-shot-text/)**Ruiying Geng, Binhua Li, Yongbin Li et al.*199 citations · our summary*
62. **[Adaptively Sparse Transformers](https://md.research.elamur.ai/free/en/papers/correia-2019-adaptively-sparse-transformers/)**Gonçalo M. Correia, Vlad Niculae, André F. T. Martins*198 citations · our summary*
63. **[MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims](https://md.research.elamur.ai/free/en/papers/augenstein-2019-multifc-real-world-multi-domain/)**Isabelle Augenstein, Christina Lioma, Dongsheng Wang et al.*186 citations · our summary*
64. **[Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction](https://md.research.elamur.ai/free/en/papers/zheng-2019-doc2edag-end-end-document-level/)**Shun Zheng, Wei Cao, Wei Xu et al.*184 citations · our summary*
65. **[A Benchmark Dataset for Learning to Intervene in Online Hate Speech](https://md.research.elamur.ai/free/en/papers/qian-2019-benchmark-dataset-learning-intervene-online/)**Jing Qian, Anna Bethke, Yinyin Liu et al.*179 citations · our summary*
66. **[Label-Specific Document Representation for Multi-Label Text Classification ↗](https://aclanthology.org/D19-1044/)**Lin Xiao, Xin Huang, Boli Chen et al.*176 citations*
67. **[Fusion of Detected Objects in Text for Visual Question Answering ↗](https://aclanthology.org/D19-1219/)**Chris Alberti, Jeffrey Ling, Michael Collins et al.*175 citations*
68. **[Jointly Learning Entity and Relation Representations for Entity Alignment ↗](https://aclanthology.org/D19-1023/)**Yuting Wu, Xiao Liu, Yansong Feng et al.*172 citations*
69. **[Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model ↗](https://aclanthology.org/D19-1274/)**Chengjiang Li, Yixin Cao, Lei Hou et al.*169 citations*
70. **[Towards Debiasing Fact Verification Models](https://md.research.elamur.ai/free/en/papers/schuster-2019-debiasing-fact-verification-models/)**Tal Schuster, Darsh Shah, Yun Jie Serene Yeo et al.*169 citations · our summary*
71. **[Visualizing and Understanding the Effectiveness of BERT](https://md.research.elamur.ai/free/en/papers/hao-2019-visualizing-understanding-effectiveness-bert/)**Yaru Hao, Li Dong, Furu Wei et al.*166 citations · our summary*
72. **[Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel ↗](https://aclanthology.org/D19-1443/)**Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada et al.*163 citations*
73. **[Aligning Cross-Lingual Entities with Multi-Aspect Information ↗](https://aclanthology.org/D19-1451/)**Hsiu-Wei Yang, Yanyan Zou, Peng Shi et al.*162 citations*
74. **[Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks](https://md.research.elamur.ai/free/en/papers/huang-2019-unicoder-universal-language-encoder-pre/)**Haoyang Huang, Yaobo Liang, Nan Duan et al.*160 citations · our summary*
75. **[CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/)**Tao Yu, Rui Zhang, Heyang Er et al.*158 citations · our summary*
76. **[Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack](https://md.research.elamur.ai/free/en/papers/dinan-2019-build-it-break-it-fix/)**Emily Dinan, Samuel Humeau, Bharath Chintagunta et al.*157 citations · our summary*
77. **[Learning to Speak and Act in a Fantasy Text Adventure Game ↗](https://aclanthology.org/D19-1062/)**Jack Urbanek, Angela Fan, Siddharth Karamcheti et al.*156 citations*
78. **[UR-FUNNY: A Multimodal Language Dataset for Understanding Humor ↗](https://aclanthology.org/D19-1211/)**Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh et al.*156 citations*
79. **[Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network ↗](https://aclanthology.org/D19-1396/)**Dianbo Sui, Yubo Chen, Kang Liu et al.*154 citations*
80. **[Extractive Summarization of Long Documents by Combining Global and Local Context](https://md.research.elamur.ai/free/en/papers/xiao-2019-extractive-summarization-long-documents-combining/)**Wen Xiao, Giuseppe Carenini*153 citations · our summary*
81. **[Can You Unpack That? Learning to Rewrite Questions-in-Context](https://md.research.elamur.ai/free/en/papers/elgohary-2019-can-you-unpack-that-learning/)**Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber*150 citations · our summary*
82. **[Encode, Tag, Realize: High-Precision Text Editing ↗](https://aclanthology.org/D19-1510/)**Eric Malmi, Sebastian Krause, Sascha Rothe et al.*148 citations*
83. **[Neural Extractive Text Summarization with Syntactic Compression ↗](https://aclanthology.org/D19-1324/)**Jiacheng Xu, Greg Durrett*147 citations*
84. **[Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/)**Pradeep Dasigi, Nelson F. Liu, Ana Marasović et al.*147 citations · our summary*
85. **[Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling](https://md.research.elamur.ai/free/en/papers/han-2019-unsupervised-domain-adaptation-contextualized-embeddings/)**Xiaochuang Han, Jacob Eisenstein*146 citations · our summary*
86. **[A Boundary-aware Neural Model for Nested Named Entity Recognition ↗](https://aclanthology.org/D19-1034/)**Changmeng Zheng, Yi Cai, Jingyun Xu et al.*145 citations*
87. **[Event Detection with Multi-Order Graph Convolution and Aggregated Attention ↗](https://aclanthology.org/D19-1582/)**Haoran Yan, Xiaolong Jin, Xiangbin Meng et al.*145 citations*
88. **[FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow](https://md.research.elamur.ai/free/en/papers/ma-2019-flowseq-non-autoregressive-conditional-sequence/)**Xuezhe Ma, Chunting Zhou, Xian Li et al.*142 citations · our summary*
89. **[Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning ↗](https://aclanthology.org/D19-1035/)**Xiangrong Zeng, Shizhu He, Daojian Zeng et al.*142 citations*
90. **[A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/)**Sewon Min, Danqi Chen, Hannaneh Hajishirzi et al.*141 citations · our summary*
91. **[Parallel Iterative Edit Models for Local Sequence Transduction ↗](https://aclanthology.org/D19-1435/)**Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal et al.*140 citations*
92. **[OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction ↗](https://aclanthology.org/D19-3029/)**Xu Han, Tianyu Gao, Yuan Yao et al. · System Demonstrations*139 citations*
93. **[Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset](https://md.research.elamur.ai/free/en/papers/byrne-2019-taskmaster-1-realistic-diverse-dialog/)**Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar et al.*139 citations · our summary*
94. **[“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer](https://md.research.elamur.ai/free/en/papers/sudhakar-2019-transforming-delete-retrieve-generate-approach/)**Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran*139 citations · our summary*
95. **[“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding ↗](https://aclanthology.org/D19-1332/)**Ben Zhou, Daniel Khashabi, Qiang Ning et al.*136 citations*
96. **[Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval ↗](https://aclanthology.org/D19-1352/)**Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang et al.*135 citations*
97. **[An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction ↗](https://aclanthology.org/D19-1119/)**Shun Kiyono, Jun Suzuki, Masato Mita et al.*134 citations*
98. **[DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization ↗](https://aclanthology.org/D19-1518/)**Chujie Lu, Long Chen, Chilie Tan et al.*134 citations*
99. **[Hierarchical Attention Prototypical Networks for Few-Shot Text Classification ↗](https://aclanthology.org/D19-1045/)**Shengli Sun, Qingfeng Sun, Kevin Zhou et al.*132 citations*
100. **[Neural Linguistic Steganography ↗](https://aclanthology.org/D19-1115/)**Zachary Ziegler, Yuntian Deng, Alexander Rush*127 citations*

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