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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 2 of 4 · 101–200 · ← back to «Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank»

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  1. Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 503 citations
  2. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Abdul-Mageed, Lyle Ungar2017 · 487 citations
  3. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 474 citations
  4. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  5. PPT: Pre-trained Prompt Tuning for Few-shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 471 citations
  6. Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.2015 · 471 citations
  7. LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 458 citations
  8. Bilingual Word Representations with Monolingual Quality in MindWorkshop on Vector Space Modeling for Natural Language ProcessingThang Luong, Hieu Pham, Christopher D. Manning2015 · 456 citations
  9. Pretrained Transformers Improve Out-of-Distribution RobustnessAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 452 citations
  10. FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 452 citations
  11. GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 449 citations
  12. Are Sixteen Heads Really Better than One?arXiv:1905.10650Paul Michel, Omer Levy, Graham Neubig2019 · 435 citations
  13. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  14. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 416 citations
  15. Long Range Arena: A Benchmark for Efficient TransformersarXiv:2011.04006Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2020 · 414 citations
  16. DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Alisa Liu, Maarten Sap, Ximing Lu, et al.2021 · 409 citations
  17. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 406 citations
  18. Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMsConference on Empirical Methods in Natural Language Processing (EMNLP)Miguel Ballesteros, Chris Dyer, Noah A. Smith2015 · 403 citations
  19. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
  20. Aligning AI With Shared Human ValuesarXiv:2008.02275Dan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 395 citations
  21. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 395 citations
  22. Combating Adversarial Misspellings with Robust Word RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton2019 · 390 citations
  23. From Paraphrase Database to Compositional Paraphrase Model and BackTransactions of the Association for Computational Linguistics (TACL)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2015 · 379 citations
  24. Improving Lexical Embeddings with Semantic KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Mo Yu, Mark Dredze2014 · 371 citations
  25. Political Ideology Detection Using Recursive Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al.2014 · 370 citations
  26. Revisiting Few-sample BERT Fine-tuningarXiv:2006.05987Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.2020 · 368 citations
  27. HotFlip: White-Box Adversarial Examples for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Javid Ebrahimi, Anyi Rao, Daniel Lowd, et al.2018 · 363 citations
  28. Representation Learning for Text-level Discourse ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Yangfeng Ji, Jacob Eisenstein2014 · 346 citations
  29. Word-level Textual Adversarial Attacking as Combinatorial OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Zang, Fanchao Qi, Chenghao Yang, et al.2020 · 340 citations
  30. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
  31. SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Tian, Can Gao, Xinyan Xiao, et al.2020 · 333 citations
  32. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
  33. Language Is Not All You Need: Aligning Perception with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 330 citations
  34. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  35. Paraphrasing Revisited with Neural Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jonathan Mallinson, Rico Sennrich, Mirella Lapata2017 · 321 citations
  36. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 308 citations
  37. Muppet: Massive Multi-task Representations with Pre-FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP)Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 307 citations
  38. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
  39. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  40. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 304 citations
  41. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 304 citations
  42. Do Multi-Sense Embeddings Improve Natural Language Understanding?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Dan Jurafsky2015 · 304 citations
  43. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTMAnnual Meeting of the Association for Computational Linguistics (ACL)Ivan Habernal, Iryna Gurevych2016 · 303 citations
  44. Want To Reduce Labeling Cost? GPT-3 Can HelpFindings of the Association for Computational LinguisticsShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 300 citations
  45. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleConference on Empirical Methods in Natural Language Processing (EMNLP)Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 297 citations
  46. BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in BanglaFindings of the Association for Computational LinguisticsAbhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.2022 · 296 citations
  47. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  48. Metaphor as a Medium for Emotion: An Empirical StudyJoint Conference on Lexical and Computational Semantics (*SEM)Saif Mohammad, Ekaterina Shutova, Peter Turney2016 · 286 citations
  49. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 285 citations
  50. BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 285 citations
  51. Contextualized Perturbation for Textual Adversarial AttackConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dianqi Li, Yizhe Zhang, Hao Peng, et al.2021 · 283 citations
  52. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity AnnotationAnnual Meeting of the Association for Computational Linguistics (ACL)Svetlana Kiritchenko, Saif Mohammad2017 · 283 citations
  53. Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL)Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 281 citations
  54. Compositional Vector Space Models for Knowledge Base CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Arvind Neelakantan, Benjamin Roth, Andrew McCallum2015 · 281 citations
  55. ONION: A Simple and Effective Defense Against Textual Backdoor AttacksConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Mukai Li, et al.2021 · 280 citations
  56. Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.2021 · 277 citations
  57. Surface Form Competition: Why the Highest Probability Answer Isn't Always RightConference on Empirical Methods in Natural Language Processing (EMNLP)Ari Holtzman, Peter West, Vered Shwartz, et al.2021 · 277 citations
  58. Zero-Shot Transfer Learning for Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lifu Huang, Heng Ji, Kyunghyun Cho, et al.2018 · 273 citations
  59. Towards Understanding and Mitigating Social Biases in Language ModelsarXiv:2106.13219Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 271 citations
  60. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 270 citations
  61. DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.2022 · 269 citations
  62. When Are Tree Structures Necessary for Deep Learning of Representations?Conference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Thang Luong, Dan Jurafsky, et al.2015 · 267 citations
  63. Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly SupervisedConference on Empirical Methods in Natural Language Processing (EMNLP)Stefanos Angelidis, Mirella Lapata2018 · 266 citations
  64. CODRA: A Novel Discriminative Framework for Rhetorical AnalysisComputational LinguisticsShafiq Joty, Giuseppe Carenini, Raymond T. Ng2015 · 263 citations
  65. Towards Debiasing Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 262 citations
  66. A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence ClassificationInternational Joint Conference on Natural Language Processing (IJCNLP)Ye Zhang, Byron Wallace2017 · 260 citations
  67. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 259 citations
  68. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersFindings of the Association for Computational LinguisticsDamai Dai, Yutao Sun, Li Dong, et al.2023 · 257 citations
  69. ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 245 citations
  70. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 243 citations
  71. Argumentation Mining in User-Generated Web DiscourseComputational LinguisticsIvan Habernal, Iryna Gurevych2017 · 243 citations
  72. Charagram: Embedding Words and Sentences via Character n-gramsConference on Empirical Methods in Natural Language Processing (EMNLP)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2016 · 242 citations
  73. BERT-of-Theseus: Compressing BERT by Progressive Module ReplacingConference on Empirical Methods in Natural Language Processing (EMNLP)Canwen Xu, Wangchunshu Zhou, Tao Ge, et al.2020 · 240 citations
  74. Curriculum Learning for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Benfeng Xu, Licheng Zhang, Zhendong Mao, et al.2020 · 240 citations
  75. Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Fanchao Qi, Mukai Li, Yangyi Chen, et al.2021 · 238 citations
  76. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 237 citations
  77. Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsTransactions of the Association for Computational Linguistics (TACL)Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.2017 · 236 citations
  78. Better Document-level Sentiment Analysis from RST Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein2015 · 235 citations
  79. Learning to Deceive with Attention-Based ExplanationsAnnual Meeting of the Association for Computational Linguistics (ACL)Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, et al.2020 · 233 citations
  80. Coreferential Reasoning Learning for Language RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Deming Ye, Yankai Lin, Jiaju Du, et al.2020 · 228 citations
  81. Sparse Overcomplete Word Vector RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.2015 · 228 citations
  82. Learning to Faithfully Rationalize by ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.2020 · 225 citations
  83. Visualizing and Understanding the Effectiveness of BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Yaru Hao, Li Dong, Furu Wei, et al.2019 · 222 citations
  84. Structured Pruning Learns Compact and Accurate ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhou Xia, Zexuan Zhong, Danqi Chen2022 · 221 citations
  85. Measuring Association Between Labels and Free-Text RationalesConference on Empirical Methods in Natural Language Processing (EMNLP)Sarah Wiegreffe, Ana Marasović, Noah A. Smith2021 · 220 citations
  86. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
  87. Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence RerankingAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.2015 · 216 citations
  88. An Unsupervised Sentence Embedding Method by Mutual Information MaximizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Zhang, Ruidan He, Zuozhu Liu, et al.2020 · 213 citations
  89. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 210 citations
  90. Active Example Selection for In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Zhang, Shi Feng, Chenhao Tan2022 · 209 citations
  91. “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference LettersFindings of the Association for Computational LinguisticsYixin Wan, George Pu, Jiao Sun, et al.2023 · 208 citations
  92. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 208 citations
  93. Recursive Deep Models for Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Rumeng Li, Eduard Hovy2014 · 206 citations
  94. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasConference on Neural Information Processing Systems (NeurIPS)Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 202 citations
  95. Structured Pruning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziheng Wang, Jeremy Wohlwend, Tao Lei2020 · 202 citations
  96. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
  97. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 198 citations
  98. One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse RelationsTransactions of the Association for Computational Linguistics (TACL)Yangfeng Ji, Jacob Eisenstein2015 · 198 citations
  99. The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 196 citations
  100. Graph Convolutional Encoders for Syntax-aware Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jasmijn Bastings, Ivan Titov, Wilker Aziz, et al.2017 · 194 citations

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