---
title: "Richard Socher — all works — Elamur Research"
description: "All 172 works of Richard Socher in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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# Richard Socher — all works

172 works · page 1 of 2 · 1–100 · [← Richard Socher](https://md.research.elamur.ai/free/en/authors/richard-socher/)

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1. **[ImageNet: A large-scale hierarchical image database ↗](https://doi.org/10.1109/cvpr.2009.5206848) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jia Hao Deng et al.*2009 · 63,226 citations*
2. **[GloVe: Global Vectors for Word Representation](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jeffrey Pennington, Richard Socher, Christopher Manning*2014 · 38,706 citations*
3. **[Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank](https://md.research.elamur.ai/free/en/papers/socher-2013-recursive-deep-models-semantic-compositionality/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Alex Perelygin, Jean Wu, et al.*2013 · 9,138 citations*
4. **[Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks ↗](https://aclanthology.org/P15-1150/) Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Kai Sheng Tai, Richard Socher, Christopher D. Manning*2015 · 3,614 citations*
5. **[Reasoning With Neural Tensor Networks for Knowledge Base Completion](https://md.research.elamur.ai/free/en/papers/socher-2013-reasoning-neural-tensor-networks-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Richard Socher, Danqi Chen, Christopher D. Manning, et al.*2013 · 1,810 citations*
6. **[Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning ↗](https://doi.org/10.1109/cvpr.2017.345) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiasen Lu et al.*2017 · 1,784 citations*
7. [**Pointer Sentinel Mixture Models arXiv:1609.07843**Stephen Merity, Caiming Xiong, James Bradbury, et al.*2016 · 1,733 citations*](https://md.research.elamur.ai/free/en/papers/merity-2016-pointer-sentinel-mixture-models/)
8. [**A Deep Reinforced Model for Abstractive Summarization arXiv:1705.04304**Romain Paulus, Caiming Xiong, Richard Socher*2017 · 1,657 citations*](https://md.research.elamur.ai/free/en/papers/paulus-2017-deep-reinforced-model-abstractive-summarization/)
9. **[Semantic Compositionality through Recursive Matrix-Vector Spaces](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Brody Huval, Christopher D. Manning, et al.*2012 · 1,577 citations*
10. **[Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions](https://md.research.elamur.ai/free/en/papers/socher-2011-semi-supervised-recursive-autoencoders-predicting/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.*2011 · 1,426 citations*
11. **[Deep learning-enabled medical computer vision ↗](https://doi.org/10.1038/s41746-020-00376-2) npj Digital Medicine · no summary yet**Andre Esteva et al.*2021 · 1,377 citations*
12. **[Improving Word Representations via Global Context and Multiple Word Prototypes](https://md.research.elamur.ai/free/en/papers/huang-2012-improving-word-representations-global-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eric Huang, Richard Socher, Christopher Manning, et al.*2012 · 1,361 citations*
13. [**CTRL: A Conditional Transformer Language Model for Controllable Generation arXiv:1909.05858**Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.*2019 · 1,291 citations*](https://md.research.elamur.ai/free/en/papers/keskar-2019-ctrl-conditional-transformer-language-model/)
14. **[Parsing Natural Scenes and Natural Language with Recursive Neural Networks ↗](https://openalex.org/W1423339008) no summary yet**Richard Socher et al.*2011 · 1,287 citations*
15. [**Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning arXiv:1709.00103**Victor Zhong, Caiming Xiong, Richard Socher*2017 · 1,226 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2017-seq2sql-generating-structured-queries-natural/)
16. **[Evaluating the Factual Consistency of Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/kryscinski-2020-evaluating-factual-consistency-abstractive-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wojciech Kryscinski, Bryan McCann, Caiming Xiong, et al.*2020 · 1,120 citations*
17. **[SummEval: Re-evaluating Summarization Evaluation ↗](https://aclanthology.org/2021.tacl-1.24/) Transactions of the Association for Computational Linguistics · no summary yet**Alexander R. Fabbri et al.*2021 · 1,059 citations*
18. **[Parsing with Compositional Vector Grammars ↗](https://aclanthology.org/P13-1045/) Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Richard Socher et al.*2013 · 1,044 citations*
19. **[Better Word Representations with Recursive Neural Networks for Morphology](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Thang Luong, Richard Socher, Christopher Manning*2013 · 1,027 citations*
20. **[Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection ↗](https://openalex.org/W2103305545) no summary yet**Richard Socher et al.*2011 · 1,022 citations*
21. **[Grounded Compositional Semantics for Finding and Describing Images with Sentences](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Richard Socher, Andrej Karpathy, Quoc V. Le, et al.*2014 · 932 citations*
22. **[Zero-Shot Learning Through Cross-Modal Transfer ↗](https://arxiv.org/abs/1301.3666) arXiv (Cornell University) · no summary yet**Richard Socher et al.*2013 · 863 citations*
23. **[ERASER: A Benchmark to Evaluate Rationalized NLP Models](https://md.research.elamur.ai/free/en/papers/deyoung-2020-eraser-benchmark-evaluate-rationalized-nlp/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.*2020 · 832 citations*
24. [**Ask Me Anything: Dynamic Memory Networks for Natural Language Processing arXiv:1506.07285**Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al.*2015 · 801 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2015-ask-me-anything-dynamic-memory/)
25. [**Non-Autoregressive Neural Machine Translation arXiv:1711.02281**Jiatao Gu, James Bradbury, Caiming Xiong, et al.*2017 · 793 citations*](https://md.research.elamur.ai/free/en/papers/gu-2017-non-autoregressive-neural-machine-translation/)
26. **[Explain Yourself! Leveraging Language Models for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/rajani-2019-explain-yourself-leveraging-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al.*2019 · 701 citations*
27. **[Dynamic Memory Networks for Visual and Textual Question Answering ↗](https://arxiv.org/abs/1603.01417) arXiv (Cornell University) · no summary yet**Caiming Xiong, Stephen Merity, Richard Socher*2016 · 698 citations*
28. **[Bilingual Word Embeddings for Phrase-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/zou-2013-bilingual-word-embeddings-phrase-based/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Will Y. Zou, Richard Socher, Daniel Cer, et al.*2013 · 689 citations*
29. **[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 · 674 citations*
30. **[End-to-End Dense Video Captioning with Masked Transformer ↗](https://doi.org/10.1109/cvpr.2018.00911) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Luowei Zhou et al.*2018 · 636 citations*
31. [**Regularizing and Optimizing LSTM Language Models arXiv:1708.02182**Stephen Merity, Nitish Shirish Keskar, Richard Socher*2017 · 633 citations*](https://md.research.elamur.ai/free/en/papers/merity-2017-regularizing-optimizing-lstm-language-models/)
32. **[Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems](https://md.research.elamur.ai/free/en/papers/wu-2019-transferable-multi-domain-state-generator/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, et al.*2019 · 628 citations*
33. [**Dynamic Coattention Networks For Question Answering arXiv:1611.01604**Caiming Xiong, Victor Zhong, Richard Socher*2016 · 596 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2016-dynamic-coattention-networks-question-answering/)
34. **[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 · 559 citations*
35. **[DivideMix: Learning with Noisy Labels as Semi-supervised Learning ↗](https://arxiv.org/abs/2002.07394) arXiv (Cornell University) · no summary yet**Junnan Li, Richard Socher, Steven C. H. Hoi*2020 · 556 citations*
36. [**The Natural Language Decathlon: Multitask Learning as Question Answering arXiv:1806.08730**Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.*2018 · 545 citations*](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/)
37. **[Convolutional-Recursive Deep Learning for 3D Object Classification ↗](https://openalex.org/W2109992539) no summary yet**Richard Socher et al.*2012 · 517 citations*
38. [**Learned in Translation: Contextualized Word Vectors arXiv:1708.00107**Bryan McCann, James Bradbury, Caiming Xiong, et al.*2017 · 512 citations*](https://md.research.elamur.ai/free/en/papers/mccann-2017-learned-translation-contextualized-word-vectors/)
39. **[Towards total scene understanding: Classification, annotation and segmentation in an automatic framework ↗](https://doi.org/10.1109/cvpr.2009.5206718) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Li-Jia Li, Richard Socher, Li Fei-Fei*2009 · 485 citations*
40. **[Multi-Hop Knowledge Graph Reasoning with Reward Shaping ↗](https://aclanthology.org/D18-1362/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xi Victoria Lin, Richard Socher, Caiming Xiong*2018 · 473 citations*
41. [**Large Language Models: A Survey arXiv:2402.06196**Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.*2024 · 471 citations*](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/)
42. **[GeDi: Generative Discriminator Guided Sequence Generation](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.*2021 · 449 citations*
43. **[Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling ↗](https://arxiv.org/abs/1611.01462) arXiv:1611.01462 · no summary yet**Hakan Inan, Khashayar Khosravi, Richard Socher*2016 · 414 citations*
44. [**A Simple Language Model for Task-Oriented Dialogue arXiv:2005.00796**Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.*2020 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-asl-2020-simple-language-model-task-oriented/)
45. **[Improving Generalization Performance by Switching from Adam to SGD ↗](https://arxiv.org/abs/1712.07628) arXiv (Cornell University) · no summary yet**Nitish Shirish Keskar, Richard Socher*2017 · 394 citations*
46. **[Quasi-Recurrent Neural Networks ↗](https://arxiv.org/abs/1611.01576) arXiv (Cornell University) · no summary yet**James Bradbury et al.*2016 · 376 citations*
47. **[TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.*2020 · 361 citations*
48. **[A Neural Network for Factoid Question Answering over Paragraphs ↗](https://aclanthology.org/D14-1070/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Mohit Iyyer et al.*2014 · 360 citations*
49. **[BERTology Meets Biology: Interpreting Attention in Protein Language Models ↗](https://doi.org/10.1101/2020.06.26.174417) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Jesse Vig et al.*2020 · 318 citations*
50. **[Global-Locally Self-Attentive Encoder for Dialogue State Tracking ↗](https://aclanthology.org/P18-1135/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Victor Zhong, Caiming Xiong, Richard Socher*2018 · 285 citations*
51. [**Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering arXiv:1911.10470**Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.*2019 · 280 citations*](https://md.research.elamur.ai/free/en/papers/asai-2019-learning-retrieve-reasoning-paths-over/)
52. **[Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing](https://md.research.elamur.ai/free/en/papers/lin-2020-bridging-textual-tabular-data-cross/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xi Victoria Lin, Richard Socher, Caiming Xiong*2020 · 263 citations*
53. **[Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains ↗](https://doi.org/10.1038/s41467-020-19334-3) Nature Communications · no summary yet**Nikhil Naik et al.*2020 · 260 citations*
54. **[Connecting modalities: Semi-supervised segmentation and annotation of images using unaligned text corpora ↗](https://doi.org/10.1109/cvpr.2010.5540112) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Richard Socher, Li Fei-Fei*2010 · 237 citations*
55. **[AdaFrame: Adaptive Frame Selection for Fast Video Recognition ↗](https://doi.org/10.1109/cvpr.2019.00137) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zuxuan Wu et al.*2019 · 233 citations*
56. **[Self-Monitoring Navigation Agent via Auxiliary Progress Estimation ↗](https://arxiv.org/abs/1901.03035) arXiv (Cornell University) · no summary yet**Chih‐Yao Ma et al.*2019 · 221 citations*
57. **[Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials ↗](https://doi.org/10.1038/s41746-022-00613-w) npj Digital Medicine · no summary yet**Andre Esteva et al.*2022 · 215 citations*
58. **[Efficient and Robust Question Answering from Minimal Context over Documents](https://md.research.elamur.ai/free/en/papers/min-2018-efficient-robust-question-answering-minimal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Victor Zhong, Richard Socher, et al.*2018 · 197 citations*
59. **[Improving Abstraction in Text Summarization ↗](https://aclanthology.org/D18-1207/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wojciech Kryściński et al.*2018 · 186 citations*
60. **[An Analysis of Neural Language Modeling at Multiple Scales ↗](https://arxiv.org/abs/1803.08240) arXiv:1803.08240 · no summary yet**Stephen Merity, Nitish Shirish Keskar, Richard Socher*2018 · 178 citations*
61. **[Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions](https://md.research.elamur.ai/free/en/papers/zhang-2019-editing-based-sql-query-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rui Zhang, Tao Yu, Heyang Er, et al.*2019 · 177 citations*
62. **[Weighted Transformer Network for Machine Translation ↗](https://arxiv.org/abs/1711.02132) arXiv (Cornell University) · no summary yet**Karim Ahmed, Nitish Shirish Keskar, Richard Socher*2017 · 151 citations*
63. **[GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing ↗](https://arxiv.org/abs/2009.13845) arXiv (Cornell University) · no summary yet**Tao Yu et al.*2020 · 147 citations*
64. **[Deep Learning for NLP (without Magic) ↗](https://aclanthology.org/N13-4001/) NAACL HLT 2013 Tutorial Abstracts · no summary yet**Richard Socher, Christopher D. Manning*2013 · 134 citations*
65. **[It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations](https://md.research.elamur.ai/free/en/papers/tan-2020-it-s-morphin-time-combating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Samson Tan, Shafiq Joty, Min-Yen Kan, et al.*2020 · 131 citations*
66. **[DCN+: Mixed Objective and Deep Residual Coattention for Question Answering ↗](https://arxiv.org/abs/1711.00106) arXiv (Cornell University) · no summary yet**Caiming Xiong, Zhong, Victor, Richard Socher*2017 · 124 citations*
67. **[Learning From Noisy Anchors for One-Stage Object Detection ↗](https://doi.org/10.1109/cvpr42600.2020.01060) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hengduo Li et al.*2020 · 118 citations*
68. **[The AI Economist: Taxation policy design via two-level deep multiagent reinforcement learning ↗](https://doi.org/10.1126/sciadv.abk2607) Science Advances · no summary yet**Stephan Zheng et al.*2022 · 112 citations*
69. **[COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization ↗](https://doi.org/10.1038/s41746-021-00437-0) npj Digital Medicine · no summary yet**Andre Esteva et al.*2021 · 112 citations*
70. **[Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference ↗](https://aclanthology.org/2020.emnlp-main.411/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jianguo Zhang et al.*2020 · 112 citations*
71. **[BERT is Not an Interlingua and the Bias of Tokenization ↗](https://aclanthology.org/D19-6106/) Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) · no summary yet**Jasdeep Singh et al.*2019 · 111 citations*
72. **[XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering ↗](https://arxiv.org/abs/1905.11471) arXiv (Cornell University) · no summary yet**Singh, Jasdeep et al.*2019 · 102 citations*
73. **[Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting ↗](https://arxiv.org/abs/1904.00310) arXiv (Cornell University) · no summary yet**Xilai Li et al.*2019 · 94 citations*
74. **[Global-to-local Memory Pointer Networks for Task-Oriented Dialogue ↗](https://arxiv.org/abs/1901.04713) arXiv (Cornell University) · no summary yet**Chien-Sheng Wu, Richard Socher, Caiming Xiong*2019 · 94 citations*
75. **[Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning ↗](https://openalex.org/W3049711450) no summary yet**Himabindu Lakkaraju, Richard Socher, Christopher D. Manning*2014 · 87 citations*
76. **[A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation ↗](https://arxiv.org/abs/1810.13243) arXiv (Cornell University) · no summary yet**Akhilesh Deepak Gotmare et al.*2018 · 86 citations*
77. **[Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start ↗](https://aclanthology.org/2020.emnlp-main.660/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Wenpeng Yin et al.*2020 · 84 citations*
78. **[Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks ↗](https://openalex.org/W7099875597) no summary yet**Richard Socher, Christopher D. Manning, Andrew Ng*2010 · 82 citations*
79. **[Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking](https://md.research.elamur.ai/free/en/papers/zhang-2020-find-or-classify-dual-strategy/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, et al.*2020 · 79 citations*
80. **[Global-Locally Self-Attentive Dialogue State Tracker ↗](https://arxiv.org/abs/1805.09655) arXiv (Cornell University) · no summary yet**Zhong, Victor, Caiming Xiong, Richard Socher*2018 · 78 citations*
81. **[WSLLN:Weakly Supervised Natural Language Localization Networks ↗](https://aclanthology.org/D19-1157/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Mingfei Gao et al.*2019 · 76 citations*
82. **[Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning ↗](https://arxiv.org/abs/1712.07294) arXiv (Cornell University) · no summary yet**Tianmin Shu, Caiming Xiong, Richard Socher*2017 · 72 citations*
83. **[Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors ↗](https://arxiv.org/abs/1301.3618) arXiv (Cornell University) · no summary yet**Danqi Chen et al.*2013 · 72 citations*
84. **[Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering ↗](https://arxiv.org/abs/1901.00603) arXiv (Cornell University) · no summary yet**Zhong, Victor et al.*2019 · 71 citations*
85. **[Photon: A Robust Cross-Domain Text-to-SQL System ↗](https://aclanthology.org/2020.acl-demos.24/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Jichuan Zeng et al.*2020 · 66 citations*
86. **[Global Belief Recursive Neural Networks ↗](https://openalex.org/W2112628236) no summary yet**Romain Paulus, Richard Socher, Christopher D. Manning*2014 · 65 citations*
87. **[StartNet: Online Detection of Action Start in Untrimmed Videos ↗](https://doi.org/10.1109/iccv.2019.00564) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Mingfei Gao et al.*2019 · 62 citations*
88. **[WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos ↗](https://doi.org/10.1109/cvpr46437.2021.00195) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mingfei Gao et al.*2021 · 55 citations*
89. **[Genie: a generator of natural language semantic parsers for virtual assistant commands ↗](https://doi.org/10.1145/3314221.3314594) Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation · no summary yet**Giovanni Campagna et al.*2019 · 53 citations*
90. **[Unifying Question Answering, Text Classification, and Regression via Span Extraction ↗](https://arxiv.org/abs/1904.09286) arXiv (Cornell University) · no summary yet**Nitish Shirish Keskar et al.*2019 · 53 citations*
91. **[Tree-structured Attention with Hierarchical Accumulation ↗](https://arxiv.org/abs/2002.08046) arXiv:2002.08046 · no summary yet**Xuan-Phi Nguyen et al.*2020 · 49 citations*
92. **[The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies ↗](https://arxiv.org/abs/2004.13332) RePEc: Research Papers in Economics · no summary yet**Stephan Zheng et al.*2020 · 47 citations*
93. **[Interpretable Counting for Visual Question Answering ↗](https://arxiv.org/abs/1712.08697) arXiv (Cornell University) · no summary yet**Alexander Trott, Caiming Xiong, Richard Socher*2017 · 47 citations*
94. **[A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation ↗](https://doi.org/10.21437/interspeech.2018-1535) Interspeech (USB) · no summary yet**Ehsan Hosseini-Asl et al.*2018 · 46 citations*
95. **[Explaining and Improving Model Behavior with k Nearest Neighbor Representations ↗](https://arxiv.org/abs/2010.09030) arXiv (Cornell University) · no summary yet**Nazneen Fatema Rajani et al.*2020 · 45 citations*
96. **[Non-Autoregressive Dialog State Tracking ↗](https://arxiv.org/abs/2002.08024) arXiv (Cornell University) · no summary yet**Le, Hung, Richard Socher, Steven C. H. Hoi*2020 · 43 citations*
97. **[Composed Variational Natural Language Generation for Few-shot Intents ↗](https://aclanthology.org/2020.findings-emnlp.303/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Congying Xia et al.*2020 · 43 citations*
98. **[Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation ↗](https://arxiv.org/abs/1807.00374) arXiv (Cornell University) · no summary yet**Ehsan Hosseini-Asl et al.*2018 · 43 citations*
99. **[Improving End-to-End Speech Recognition with Policy Learning ↗](https://doi.org/10.1109/icassp.2018.8462361) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Yingbo Zhou, Caiming Xiong, Richard Socher*2018 · 43 citations*
100. **[Biological data annotation via a human-augmenting AI-based labeling system ↗](https://doi.org/10.1038/s41746-021-00520-6) npj Digital Medicine · no summary yet**Douwe van der Wal et al.*2021 · 42 citations*

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