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Who cites «Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank»

2,591 papers of our library cite it (of the 149,439 whose bibliographies we read) · 364 with a page here, the most cited first · page 1 of 4 · 1–100 · ← back to «Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank»

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  1. BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 56,209 citations
  2. Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Nils Reimers, Iryna Gurevych2019 · 17,096 citations
  3. Convolutional Neural Networks for Sentence ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim2014 · 16,299 citations
  4. Deep Contextualized Word RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.2018 · 14,944 citations
  5. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,856 citations
  6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  7. Training language models to follow instructions with human feedbackarXiv:2203.02155Long Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,224 citations
  8. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
  9. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  10. LoRA: Low-Rank Adaptation of Large Language ModelsarXiv:2106.09685Edward J. Hu, Yelong Shen, Phillip Wallis, et al.2021 · 8,661 citations
  11. The Stanford CoreNLP Natural Language Processing ToolkitAnnual Meeting of the Association for Computational Linguistics (ACL)Christopher Manning, Mihai Surdeanu, John Bauer, et al.2014 · 8,644 citations
  12. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,276 citations
  13. Distributed Representations of Sentences and DocumentsarXiv:1405.4053Quoc V. Le, Tomas Mikolov2014 · 5,803 citations
  14. Hierarchical Attention Networks for Document ClassificationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zichao Yang, Diyi Yang, Chris Dyer, et al.2016 · 5,436 citations
  15. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
  16. A large annotated corpus for learning natural language inferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Gabor Angeli, Christopher Potts, et al.2015 · 5,299 citations
  17. SimCSE: Simple Contrastive Learning of Sentence EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Xingcheng Yao, Danqi Chen2021 · 3,942 citations
  18. RoFormer: Enhanced Transformer with Rotary Position EmbeddingarXiv:2104.09864Jianlin Su, Yu Lu, Shengfeng Pan, et al.2021 · 3,028 citations
  19. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  20. Attention-based LSTM for Aspect-level Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2,621 citations
  21. SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL)Mandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,616 citations
  22. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
  23. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  24. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  25. Tensor Fusion Network for Multimodal Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Amir Zadeh, Minghai Chen, Soujanya Poria, et al.2017 · 2,125 citations
  26. Making Pre-trained Language Models Better Few-shot LearnersAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Adam Fisch, Danqi Chen2021 · 1,987 citations
  27. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  28. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,909 citations
  29. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
  30. Reasoning With Neural Tensor Networks for Knowledge Base CompletionConference on Neural Information Processing Systems (NeurIPS)Richard Socher, Danqi Chen, Christopher D. Manning, et al.2013 · 1,810 citations
  31. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,797 citations
  32. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
  33. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  34. Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2015 · 1,686 citations
  35. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
  36. SemEval-2016 Task 5: Aspect Based Sentiment AnalysisInternational Workshop on Semantic Evaluation (SemEval)Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.2016 · 1,661 citations
  37. Universal Sentence EncoderarXiv:1803.11175Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,629 citations
  38. Universal Sentence Encoder for EnglishConference on Empirical Methods in Natural Language Processing (EMNLP)Daniel Cer, Yinfei Yang, Sheng-yi Kong, et al.2018 · 1,546 citations
  39. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion GraphAnnual Meeting of the Association for Computational Linguistics (ACL)AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.2018 · 1,522 citations
  40. GLM: General Language Model Pretraining with Autoregressive Blank InfillingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,455 citations
  41. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,422 citations
  42. Language-agnostic BERT Sentence EmbeddingAnnual Meeting of the Association for Computational Linguistics (ACL)Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.2020 · 1,413 citations
  43. Learning Sentiment-Specific Word Embedding for Twitter Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Duyu Tang, Furu Wei, Nan Yang, et al.2014 · 1,346 citations
  44. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
  45. Long Short-Term Memory-Networks for Machine ReadingConference on Empirical Methods in Natural Language Processing (EMNLP)Jianpeng Cheng, Li Dong, Mirella Lapata2016 · 1,313 citations
  46. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
  47. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Li Dong, Furu Wei, Chuanqi Tan, et al.2014 · 1,217 citations
  48. Attention is not not ExplanationConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Yuval Pinter2019 · 1,208 citations
  49. Aspect Level Sentiment Classification with Deep Memory NetworkConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2016 · 1,197 citations
  50. MASS: Masked Sequence to Sequence Pre-training for Language GenerationarXiv:1905.02450Kaitao Song, Xu Tan, Tao Qin, et al.2019 · 1,143 citations
  51. Recurrent Attention Network on Memory for Aspect Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Peng Chen, Zhongqian Sun, Lidong Bing, et al.2017 · 1,119 citations
  52. Encoding Sentences with Graph Convolutional Networks for Semantic Role LabelingConference on Empirical Methods in Natural Language Processing (EMNLP)Diego Marcheggiani, Ivan Titov2017 · 1,106 citations
  53. Quantifying Attention Flow in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Samira Abnar, Willem Zuidema2020 · 1,064 citations
  54. Context-Dependent Sentiment Analysis in User-Generated VideosAnnual Meeting of the Association for Computational Linguistics (ACL)Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.2017 · 1,029 citations
  55. Attention is not ExplanationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sarthak Jain, Byron C. Wallace2019 · 1,021 citations
  56. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
  57. ERNIE 2.0: A Continual Pre-training Framework for Language UnderstandingProceedings of the AAAI Conference on Artificial IntelligenceYu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 995 citations
  58. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
  59. AdapterFusion: Non-Destructive Task Composition for Transfer LearningarXiv:2005.00247 · Proceedings of EACL 2021Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.2020 · 958 citations
  60. MPNet: Masked and Permuted Pre-training for Language UnderstandingarXiv:2004.09297Kaitao Song, Xu Tan, Tao Qin, et al.2020 · 957 citations
  61. Patient Knowledge Distillation for BERT Model CompressionarXiv:1908.09355Siqi Sun, Yu Cheng, Zhe Gan, et al.2019 · 947 citations
  62. Adversarial Example Generation with Syntactically Controlled Paraphrase NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mohit Iyyer, John Wieting, Kevin Gimpel, et al.2018 · 938 citations
  63. Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, et al.2015 · 926 citations
  64. Transition-Based Dependency Parsing with Stack Long Short-Term MemoryChris Dyer, Miguel Ballesteros, Wang Ling, et al.2015 · 868 citations
  65. A Convolutional Neural Network for Modelling SentencesarXiv:1404.2188Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom2014 · 859 citations
  66. Visualizing and Understanding Neural Models in NLPConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiwei Li, Xinlei Chen, Eduard Hovy, et al.2016 · 855 citations
  67. DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language UnderstandingProceedings of the AAAI Conference on Artificial IntelligenceTao Shen, Tianyi Zhou, Guodong Long, et al.2017 · 854 citations
  68. Black-box Generation of Adversarial Text Sequences to Evade Deep Learning ClassifiersarXiv:1801.04354Ji Gao, Jack Lanchantin, Mary Lou Soffa, et al.2018 · 840 citations
  69. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Conference on Empirical Methods in Natural Language Processing (EMNLP)Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 828 citations
  70. Calibrate Before Use: Improving Few-Shot Performance of Language ModelsarXiv:2102.09690Tony Z. Zhao, Eric Wallace, Shi Feng, et al.2021 · 825 citations
  71. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
  72. Contextual Augmentation: Data Augmentation by Words with Paradigmatic RelationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sosuke Kobayashi2018 · 810 citations
  73. Ask Me Anything: Dynamic Memory Networks for Natural Language ProcessingarXiv:1506.07285Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al.2015 · 801 citations
  74. AdapterHub: A Framework for Adapting TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.2020 · 754 citations
  75. Revealing the Dark Secrets of BERTarXiv:1908.08593Olga Kovaleva, Alexey Romanov, Anna Rogers, et al.2019 · 750 citations
  76. SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsLanguage Resources and Evaluation Conference (LREC)Alexis Conneau, Douwe Kiela2018 · 747 citations
  77. Adversarial Multi-task Learning for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengfei Liu, Xipeng Qiu, Xuanjing Huang2017 · 729 citations
  78. Rumor Detection on Twitter with Tree-structured Recursive Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Jing Ma, Wei Gao, Kam-Fai Wong2018 · 709 citations
  79. Effective LSTMs for Target-Dependent Sentiment ClassificationInternational Conference on Computational Linguistics (COLING)Duyu Tang, Bing Qin, Xiaocheng Feng, et al.2016 · 697 citations
  80. Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsarXiv:1908.08962Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 678 citations
  81. Harnessing Deep Neural Networks with Logic RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al.2016 · 627 citations
  82. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  83. Parsing Argumentation Structures in Persuasive EssaysComputational LinguisticsChristian Stab, Iryna Gurevych2017 · 613 citations
  84. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 598 citations
  85. Fine-grained Opinion Mining with Recurrent Neural Networks and Word EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Pengfei Liu, Shafiq Joty, Helen Meng2015 · 593 citations
  86. Relation Extraction: Perspective from Convolutional Neural NetworksWorkshop on Vector Space Modeling for Natural Language ProcessingThien Huu Nguyen, Ralph Grishman2015 · 592 citations
  87. Plug and Play Language Models: A Simple Approach to Controlled Text GenerationarXiv:1912.02164Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.2019 · 578 citations
  88. An efficient framework for learning sentence representationsarXiv:1803.02893Lajanugen Logeswaran, Honglak Lee2018 · 577 citations
  89. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
  90. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  91. Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer2021 · 542 citations
  92. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
  93. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  94. Stance Detection with Bidirectional Conditional EncodingConference on Empirical Methods in Natural Language Processing (EMNLP)Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.2016 · 522 citations
  95. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 516 citations
  96. Recursive Neural Conditional Random Fields for Aspect-based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.2016 · 516 citations
  97. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  98. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  99. Sentiment Analysis in the Era of Large Language Models: A Reality CheckFindings of the Association for Computational LinguisticsWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 506 citations
  100. Does String-Based Neural MT Learn Source Syntax?Conference on Empirical Methods in Natural Language Processing (EMNLP)Xing Shi, Inkit Padhi, Kevin Knight2016 · 504 citations

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