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Noah A. Smith — all works

148 works · page 1 of 2 · 1–100 · ← Noah A. Smith

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  1. Don't Stop Pretraining: Adapt Language Models to Domains and Tasks ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetSuchin Gururangan et al.2020 · 3,079 citations
  2. Self-Instruct: Aligning Language Models with Self-Generated Instructions ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYizhong Wang et al.2023 · 2,054 citations
  3. Annotation Artifacts in Natural Language Inference DataConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Suchin Gururangan, Swabha Swayamdipta, Omer Levy, et al.2018 · 1,615 citations
  4. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsFindings of the Association for Computational LinguisticsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,306 citations
  5. The Risk of Racial Bias in Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Maarten Sap, Dallas Card, Saadia Gabriel, et al.2019 · 1,164 citations
  6. Linguistic Knowledge and Transferability of Contextual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,021 citations
  7. Knowledge Enhanced Contextual Word Representations ↗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 yetMatthew E. Peters et al.2019 · 942 citations
  8. Is Attention Interpretable?Annual Meeting of the Association for Computational Linguistics (ACL)Sofia Serrano, Noah A. Smith2019 · 899 citations
  9. Transition-Based Dependency Parsing with Stack Long Short-Term MemoryChris Dyer, Miguel Ballesteros, Wang Ling, et al.English · 868 citations
  10. Measuring and Narrowing the Compositionality Gap in Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetOfir Press et al.2023 · 776 citations
  11. Recurrent Neural Network Grammars ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetChris Dyer et al.2016 · 770 citations
  12. Part-of-Speech Tagging for Twitter: Annotation, Features, and ExperimentsAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Gimpel, Nathan Schneider, Brendan O'Connor, et al.2011 · 769 citations
  13. The Web as a Parallel CorpusComputational LinguisticsPhilip Resnik, Noah A. Smith2003 · 705 citations
  14. Social Bias Frames: Reasoning about Social and Power Implications of LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.2020 · 684 citations
  15. Evaluating Gender Bias in Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer2019 · 593 citations
  16. Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetSwabha Swayamdipta et al.2020 · 535 citations
  17. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.Mova's core list · 531 citations
  18. To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks ↗arXiv:1903.05987 · no summary yetMatthew E. Peters, Sebastian Ruder, Noah A. Smith2019 · 522 citations
  19. What is the Jeopardy Model? A Quasi-Synchronous Grammar for QAConference on Empirical Methods in Natural Language Processing (EMNLP)Mengqiu Wang, Noah A. Smith, Teruko Mitamura2007 · 514 citations
  20. A Discriminative Graph-Based Parser for the Abstract Meaning RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, et al.2014 · 508 citations
  21. Contrastive Estimation: Training Log-Linear Models on Unlabeled DataAnnual Meeting of the Association for Computational Linguistics (ACL)Noah A. Smith, Jason Eisner2005 · 450 citations
  22. OLMo: Accelerating the Science of Language Models ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDirk Groeneveld et al.2024 · 429 citations
  23. All That's ‘Human' Is Not Gold: Evaluating Human Evaluation of Generated Text ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetElizabeth Clark et al.2021 · 421 citations
  24. Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation ↗arXiv:2108.12409 · no summary yetOfir Press, Noah A. Smith, Mike Lewis2021 · 417 citations
  25. Frame-Semantic ParsingComputational LinguisticsDipanjan Das, Desai Chen, André F. T. Martins, et al.2014 · 412 citations
  26. 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
  27. Massively Multilingual Word EmbeddingsarXiv:1602.01925Waleed Ammar, George Mulcaire, Yulia Tsvetkov, et al.2016 · 404 citations
  28. 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
  29. Green AIarXiv:1907.10597Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.2019 · 389 citations
  30. A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.2021 · 384 citations
  31. Many Languages, One ParserTransactions of the Association for Computational Linguistics (TACL)Waleed Ammar, George Mulcaire, Miguel Ballesteros, et al.2016 · 382 citations
  32. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.2022 · 367 citations
  33. The Media Frames Corpus: Annotations of Frames Across IssuesAnnual Meeting of the Association for Computational Linguistics (ACL)Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.2015 · 363 citations
  34. Show Your Work: Improved Reporting of Experimental Results ↗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 yetJesse Dodge et al.2019 · 355 citations
  35. Toward Abstractive Summarization Using Semantic RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fei Liu, Jeffrey Flanigan, Sam Thomson, et al.2015 · 338 citations
  36. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
  37. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
  38. A Dependency Parser for TweetsLingpeng Kong, Nathan Schneider, Swabha Swayamdipta, et al.English · 298 citations
  39. A Bayesian Mixed Effects Model of Literary CharacterAnnual Meeting of the Association for Computational Linguistics (ACL)David Bamman, Ted Underwood, Noah A. Smith2014 · 285 citations
  40. Paraphrase Identification as Probabilistic Quasi-Synchronous RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Dipanjan Das, Noah A. Smith2009 · 278 citations
  41. Event2Mind: Commonsense Inference on Events, Intents, and Reactions ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHannah Rashkin et al.2018 · 270 citations
  42. 2 OLMo 2 Furious ↗arXiv:2501.00656 · no summary yetTeam OLMo et al.2025 · 262 citations
  43. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential ReasoningPradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.English · 259 citations
  44. The Multilingual Amazon Reviews CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Phillip Keung, Yichao Lu, György Szarvas, et al.2020 · 257 citations
  45. Neural Cross-Lingual Named Entity Recognition with Minimal ResourcesConference on Empirical Methods in Natural Language Processing (EMNLP)Jiateng Xie, Zhilin Yang, Graham Neubig, et al.2018 · 249 citations
  46. Improved Part-of-Speech Tagging for Online Conversational Text with Word ClustersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al.2013 · 247 citations
  47. Sparse Overcomplete Word Vector RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, et al.2015 · 228 citations
  48. How Language Model Hallucinations Can SnowballarXiv:2305.13534Muru Zhang, Ofir Press, William Merrill, et al.2023 · 226 citations
  49. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingarXiv:2306.01693Zeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 223 citations
  50. 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
  51. TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering ↗arXiv:2303.11897 · no summary yetYushi Hu et al.2023 · 218 citations
  52. Demystifying Prompts in Language Models via Perplexity Estimation ↗arXiv:2212.04037 · no summary yetHila Gonen et al.2022 · 213 citations
  53. Selective Annotation Makes Language Models Better Few-Shot Learners ↗arXiv:2209.01975 · no summary yetHongjin Su et al.2022 · 211 citations
  54. Deep Multitask Learning for Semantic Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Sam Thomson, Noah A. Smith2017 · 211 citations
  55. Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith2019 · 209 citations
  56. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2arXiv:2311.10702Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 207 citations
  57. BLINK: Multimodal Large Language Models Can See but Not Perceive ↗arXiv:2404.12390 · no summary yetXingyu Fu et al.2024 · 206 citations
  58. 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
  59. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsarXiv:2212.09741Hongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 194 citations
  60. Challenges in Automated Debiasing for Toxic Language DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, et al.2021 · 191 citations
  61. RealTime QA: What's the Answer Right Now?Conference on Neural Information Processing Systems (NeurIPS)Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 181 citations
  62. Neural Discourse Structure for Text CategorizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yangfeng Ji, Noah A. Smith2017 · 181 citations
  63. Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar InductionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shay B. Cohen, Noah A. Smith2009 · 177 citations
  64. The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task ↗Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) · no summary yetRoy Schwartz et al.2017 · 175 citations
  65. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Orevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 174 citations
  66. Binding Language Models in Symbolic LanguagesarXiv:2210.02875Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 170 citations
  67. Neural Text Generation in Stories Using Entity Representations as Context ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetElizabeth Clark, Yangfeng Ji, Noah A. Smith2018 · 166 citations
  68. Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic ScaffoldarXiv:1706.09528Swabha Swayamdipta, Sam Thomson, Chris Dyer, et al.2017 · 160 citations
  69. Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE GamutTransactions of the Association for Computational Linguistics (TACL)Nathan Schneider, Emily Danchik, Chris Dyer, et al.2014 · 159 citations
  70. Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine TextAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.2022 · 152 citations
  71. Generation from Abstract Meaning Representation using Tree TransducersJeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.Machine translation · 152 citations
  72. In-Context Learning for Few-Shot Dialogue State TrackingFindings of the Association for Computational LinguisticsYushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.2022 · 144 citations
  73. Competency Problems: On Finding and Removing Artifacts in Language Data ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetMatt Gardner et al.2021 · 144 citations
  74. Dynamic Entity Representations in Neural Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yangfeng Ji, Chenhao Tan, Sebastian Martschat, et al.2017 · 144 citations
  75. Syntactic Scaffolds for Semantic Structures ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetSwabha Swayamdipta et al.2018 · 142 citations
  76. NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead HeuristicsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ximing Lu, Sean Welleck, Peter West, et al.2022 · 140 citations
  77. Narrative framing of consumer sentiment in online restaurant reviews ↗First Monday · no summary yetDan Jurafsky et al.2014 · 140 citations
  78. Inoculation by Fine-Tuning: A Method for Analyzing Challenge DatasetsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Roy Schwartz, Noah A. Smith2019 · 138 citations
  79. Thinking Like a Skeptic: Defeasible Inference in Natural Language ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetRachel Rudinger et al.2020 · 137 citations
  80. One Embedder, Any Task: Instruction-Finetuned Text Embeddings ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetHongjin Su et al.2023 · 135 citations
  81. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationarXiv:2006.10369Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.2020 · 134 citations
  82. Variational Pretraining for Semi-supervised Text Classification ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetSuchin Gururangan et al.2019 · 134 citations
  83. Parsing Tweets into Universal DependenciesYijia Liu, Yi Zhu, Wanxiang Che, et al.English · 121 citations
  84. Comprehensive Annotation of Multiword Expressions in a Social Web CorpusNathan Schneider, Spencer Onuffer, Nora Kazour, et al.English · 120 citations
  85. Robust Navigation with Language Pretraining and Stochastic Sampling ↗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 yetXiujun Li et al.2019 · 116 citations
  86. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models ↗arXiv:2208.03306 · no summary yetMargaret Li et al.2022 · 114 citations
  87. A Corpus and Model Integrating Multiword Expressions and SupersensesNathan Schneider, Noah A. SmithEnglish · 111 citations
  88. We're Afraid Language Models Aren't Modeling AmbiguityConference on Empirical Methods in Natural Language Processing (EMNLP)Alisa Liu, Zhaofeng Wu, Julian Michael, et al.2023 · 110 citations
  89. Polyglot Contextual Representations Improve Crosslingual Transfer ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetPhoebe Mulcaire, Jungo Kasai, Noah A. Smith2019 · 110 citations
  90. Learning Joint Semantic Parsers from Disjoint Data ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetHao Peng et al.2018 · 110 citations
  91. A Latent Variable Model for Geographic Lexical VariationConference on Empirical Methods in Natural Language Processing (EMNLP)Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, et al.2010 · 110 citations
  92. Parsing with Multilingual BERT, a Small Corpus, and a Small TreebankFindings of the Association for Computational LinguisticsEthan C. Chau, Lucy H. Lin, Noah A. Smith2020 · 104 citations
  93. Time Waits for No One! Analysis and Challenges of Temporal MisalignmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kelvin Luu, Daniel Khashabi, Suchin Gururangan, et al.2022 · 102 citations
  94. Learning Latent Personas of Film CharactersAnnual Meeting of the Association for Computational Linguistics (ACL)David Bamman, Brendan O'Connor, Noah A. Smith2013 · 101 citations
  95. Training with Exploration Improves a Greedy Stack LSTM Parser ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetMiguel Ballesteros et al.2016 · 99 citations
  96. Analyzing Framing through the Casts of Characters in the News ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetDallas Card et al.2016 · 97 citations
  97. Turning on the Turbo: Fast Third-Order Non-Projective Turbo ParsersAndré Martins, Miguel Almeida, Noah A. SmithEnglish · 97 citations
  98. Probing Across Time: What Does RoBERTa Know and When?Findings of the Association for Computational LinguisticsLeo Z. Liu, Yizhong Wang, Jungo Kasai, et al.2021 · 96 citations
  99. What's In My Big Data? ↗arXiv:2310.20707 · no summary yetYanai Elazar et al.2023 · 92 citations
  100. Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetSuchin Gururangan et al.2022 · 89 citations

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