Noah A. Smith
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
270
Venues
22
Active years
2000–2026
Best venue rank
A*
Where they publish
- A*EMNLP82 papers
- A*ACL77 papers
- ANAACL49 papers
- A*ICLR10 papers
- A*ICML8 papers
- BCoNLL7 papers
- AEACL5 papers
- AICWSM5 papers
- BLREC4 papers
- BCOLING3 papers
- A*AAAI3 papers
- A*CVPR2 papers
- A*CHI2 papers
- A*ICCV2 papers
- AIUI2 papers
- A*WWW2 papers
- AInterspeech2 papers
- A*ECCV1 paper
- ASDM1 paper
- BHCOMP1 paper
- NationalAMTA1 paper
- BICLP1 paper
Papers
270 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Reading Between the Lines: The One-Sided Conversation Problem. | Victoria Ebert, Rishabh Singh, Tuochao Chen, Noah A. Smith, Shyamnath Gollakota |
| 2025 | ACL | OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. | Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, Jesse Dodge |
| 2025 | ACL | LlamaPIE: Proactive In-Ear Conversation Assistants. | Tuochao Chen, Nicholas Scott Batchelder, Alisa Liu, Noah A. Smith, Shyamnath Gollakota |
| 2025 | ACL | Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. | Lester James Validad Miranda, Yizhong Wang, Yanai Elazar, Sachin Kumar, Valentina Pyatkin, Faeze Brahman, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi |
| 2025 | CVPR | Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. | Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2025 | CVPR | Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation. | Shivam Duggal, Yushi Hu, Oscar Michel, Aniruddha Kembhavi, William T. Freeman, Noah A. Smith, Ranjay Krishna, Antonio Torralba, Ali Farhadi, Wei-Chiu Ma |
| 2025 | EMNLP | Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index. | Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | ICLR | On Linear Representations and Pretraining Data Frequency in Language Models. | Jack Merullo, Noah A. Smith, Sarah Wiegreffe, Yanai Elazar |
| 2025 | ICLR | MUSE: Machine Unlearning Six-Way Evaluation for Language Models. | Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang |
| 2025 | ICML | DataDecide: How to Predict Best Pretraining Data with Small Experiments. | Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge |
| 2025 | NAACL | Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. | Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith |
| 2025 | NAACL | ComPO: Community Preferences for Language Model Personalization. | Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi |
| 2025 | NAACL | RewardBench: Evaluating Reward Models for Language Modeling. | Nathan Lambert, Valentina Pyatkin, Jacob Morrison, Lester James V. Miranda, Bill Yuchen Lin, Khyathi Raghavi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | ACL | Time is Encoded in the Weights of Finetuned Language Models. | Kai Nylund, Suchin Gururangan, Noah A. Smith |
| 2024 | ACL | Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. | Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo |
| 2024 | ACL | Set the Clock: Temporal Alignment of Pretrained Language Models. | Bowen Zhao, Zander Brumbaugh, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith |
| 2024 | CHI | Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience. | Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke |
| 2024 | COLING | A Call for Clarity in Beam Search: How It Works and When It Stops. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith |
| 2024 | ECCV | BLINK: Multimodal Large Language Models Can See but Not Perceive. | Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna |
| 2024 | EMNLP | Voices Unheard: NLP Resources and Models for Yorb Regional Dialects. | Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov |
| 2024 | EMNLP | Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. | Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer |
| 2024 | EMNLP | Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. | Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith |
| 2024 | EMNLP | Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG. | William Merrill, Noah A. Smith, Yanai Elazar |
| 2024 | EMNLP | Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging. | Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi |
| 2024 | ICLR | What's In My Big Data? | Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge |
| 2024 | ICLR | SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. | Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer |
| 2024 | ICLR | In-Context Pretraining: Language Modeling Beyond Document Boundaries. | Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis |
| 2024 | ICML | How Language Model Hallucinations Can Snowball. | Muru Zhang, Ofir Press, William Merrill, Alisa Liu, Noah A. Smith |
| 2023 | ACL | Risks and NLP Design: A Case Study on Procedural Document QA. | Nikita Haduong, Alice Gao, Noah A. Smith |
| 2023 | ACL | Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. | Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi |
| 2023 | ACL | NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. | Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith |
| 2023 | ACL | Reproducibility in NLP: What Have We Learned from the Checklist? | Ian Magnusson, Noah A. Smith, Jesse Dodge |
| 2023 | ACL | Stubborn Lexical Bias in Data and Models. | Sofia Serrano, Jesse Dodge, Noah A. Smith |
| 2023 | ACL | One Embedder, Any Task: Instruction-Finetuned Text Embeddings. | Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2023 | ACL | Self-Instruct: Aligning Language Models with Self-Generated Instructions. | Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi |
| 2023 | ACL | Elaboration-Generating Commonsense Question Answering at Scale. | Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith |
| 2023 | EMNLP | Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements. | Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi |
| 2023 | EMNLP | Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. | Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov |
| 2023 | EMNLP | Demystifying Prompts in Language Models via Perplexity Estimation. | Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer |
| 2023 | EMNLP | That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context? | Jaechan Lee, Alisa Liu, Orevaoghene Ahia, Hila Gonen, Noah A. Smith |
| 2023 | EMNLP | We're Afraid Language Models Aren't Modeling Ambiguity. | Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi |
| 2023 | EMNLP | Measuring and Narrowing the Compositionality Gap in Language Models. | Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, Mike Lewis |
| 2023 | ICCV | PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. | Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo |
| 2023 | ICCV | TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. | Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith |
| 2023 | ICLR | Binding Language Models in Symbolic Languages. | Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu |
| 2023 | ICLR | Selective Annotation Makes Language Models Better Few-Shot Learners. | Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu |
| 2022 | ACL | Generating Scientific Definitions with Controllable Complexity. | Tal August, Katharina Reinecke, Noah A. Smith |
| 2022 | ACL | Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. | Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi |
| 2022 | ACL | ABC: Attention with Bounded-memory Control. | Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith |
| 2022 | EMNLP | Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. | Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith |
| 2022 | EMNLP | How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. | Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz |
| 2022 | EMNLP | In-Context Learning for Few-Shot Dialogue State Tracking. | Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf |
| 2022 | EMNLP | Twist Decoding: Diverse Generators Guide Each Other. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith |
| 2022 | EMNLP | GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. | Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld |
| 2022 | EMNLP | WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation. | Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi |
| 2022 | EMNLP | Unsupervised Learning of Hierarchical Conversation Structure. | Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf |
| 2022 | EMNLP | Modeling Context With Linear Attention for Scalable Document-Level Translation. | Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | ICLR | Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation. | Ofir Press, Noah A. Smith, Mike Lewis |
| 2022 | LREC | The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems. | Daniel Cheng, Kyle Yan, Phillip Keung, Noah A. Smith |
| 2022 | LREC | Domain Mismatch Doesn't Always Prevent Cross-lingual Transfer Learning. | Daniel Edmiston, Phillip Keung, Noah A. Smith |
| 2022 | NAACL | DEMix Layers: Disentangling Domains for Modular Language Modeling. | Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer |
| 2022 | NAACL | Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith |
| 2022 | NAACL | Transparent Human Evaluation for Image Captioning. | Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith |
| 2022 | NAACL | Time Waits for No One! Analysis and Challenges of Temporal Misalignment. | Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, Noah A. Smith |
| 2022 | NAACL | NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. | Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi |
| 2022 | NAACL | Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. | Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith |
| 2021 | ACL | All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text. | Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, Noah A. Smith |
| 2021 | ACL | Promoting Graph Awareness in Linearized Graph-to-Text Generation. | Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith |
| 2021 | ACL | DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. | Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi |
| 2021 | ACL | Explaining Relationships Between Scientific Documents. | Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith |
| 2021 | ACL | Shortformer: Better Language Modeling using Shorter Inputs. | Ofir Press, Noah A. Smith, Mike Lewis |
| 2021 | EACL | Challenges in Automated Debiasing for Toxic Language Detection. | Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Yejin Choi, Noah A. Smith |
| 2021 | EMNLP | Competency Problems: On Finding and Removing Artifacts in Language Data. | Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith |
| 2021 | EMNLP | Expected Validation Performance and Estimation of a Random Variable's Maximum. | Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
| 2021 | EMNLP | Finetuning Pretrained Transformers into RNNs. | Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith |
| 2021 | EMNLP | Probing Across Time: What Does RoBERTa Know and When? | Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith |
| 2021 | EMNLP | Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent. | William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith |
| 2021 | EMNLP | Sentence Bottleneck Autoencoders from Transformer Language Models. | Ivan Montero, Nikolaos Pappas, Noah A. Smith |
| 2021 | EMNLP | Measuring Association Between Labels and Free-Text Rationales. | Sarah Wiegreffe, Ana Marasovic, Noah A. Smith |
| 2021 | ICLR | Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. | Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith |
| 2021 | ICLR | Random Feature Attention. | Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong |
| 2021 | NAACL | Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models. | Elizabeth Clark, Noah A. Smith |
| 2021 | NAACL | A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. | Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner |
| 2020 | ACL | Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus. | Tal August, Maarten Sap, Elizabeth Clark, Katharina Reinecke, Noah A. Smith |
| 2020 | ACL | Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. | Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith |
| 2020 | ACL | A Formal Hierarchy of RNN Architectures. | William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav |
| 2020 | ACL | A Mixture of h - 1 Heads is Better than h Heads. | Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith |
| 2020 | ACL | Improving Transformer Models by Reordering their Sublayers. | Ofir Press, Noah A. Smith, Omer Levy |
| 2020 | ACL | Social Bias Frames: Reasoning about Social and Power Implications of Language. | Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi |
| 2020 | ACL | Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. | Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker |
| 2020 | ACL | The Right Tool for the Job: Matching Model and Instance Complexities. | Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith |
| 2020 | CHI | Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science. | Tal August, Dallas Card, Gary Hsieh, Noah A. Smith, Katharina Reinecke |
| 2020 | EMNLP | Evaluating Models' Local Decision Boundaries via Contrast Sets. | Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou |
| 2020 | EMNLP | Writing Strategies for Science Communication: Data and Computational Analysis. | Tal August, Lauren Kim, Katharina Reinecke, Noah A. Smith |
| 2020 | EMNLP | Parsing with Multilingual BERT, a Small Treebank, and a Small Corpus. | Ethan C. Chau, Lucy H. Lin, Noah A. Smith |
| 2020 | EMNLP | RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. | Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith |
| 2020 | EMNLP | The Multilingual Amazon Reviews Corpus. | Phillip Keung, Yichao Lu, Gyrgy Szarvas, Noah A. Smith |
| 2020 | EMNLP | Plug and Play Autoencoders for Conditional Text Generation. | Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson |
| 2020 | EMNLP | Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. | Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Grounded Compositional Outputs for Adaptive Language Modeling. | Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith |
| 2020 | EMNLP | Thinking Like a Skeptic: Defeasible Inference in Natural Language. | Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. | Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi |
| 2020 | EMNLP | Multilevel Text Alignment with Cross-Document Attention. | Xuhui Zhou, Nikolaos Pappas, Noah A. Smith |
| 2019 | AAAI | ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. | Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi |
| 2019 | ACL | Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts. | Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith |
| 2019 | ACL | Variational Pretraining for Semi-supervised Text Classification. | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith |
| 2019 | ACL | The Risk of Racial Bias in Hate Speech Detection. | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith |
| 2019 | ACL | Is Attention Interpretable? | Sofia Serrano, Noah A. Smith |
| 2019 | ACL | Evaluating Gender Bias in Machine Translation. | Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer |
| 2019 | CoNLL | Low-Resource Parsing with Crosslingual Contextualized Representations. | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith |
| 2019 | EMNLP | Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. | Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner |
| 2019 | EMNLP | Show Your Work: Improved Reporting of Experimental Results. | Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
| 2019 | EMNLP | RNN Architecture Learning with Sparse Regularization. | Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith |
| 2019 | EMNLP | Topics to Avoid: Demoting Latent Confounds in Text Classification. | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov |
| 2019 | EMNLP | Robust Navigation with Language Pretraining and Stochastic Sampling. | Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
| 2019 | EMNLP | PaLM: A Hybrid Parser and Language Model. | Hao Peng, Roy Schwartz, Noah A. Smith |
| 2019 | EMNLP | Knowledge Enhanced Contextual Word Representations. | Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
| 2019 | NAACL | Linguistic Knowledge and Transferability of Contextual Representations. | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
| 2019 | NAACL | Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. | Nelson F. Liu, Roy Schwartz, Noah A. Smith |
| 2019 | NAACL | Polyglot Contextual Representations Improve Crosslingual Transfer. | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith |
| 2018 | ACL | Polyglot Semantic Role Labeling. | Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith |
| 2018 | ACL | Event2Mind: Commonsense Inference on Events, Intents, and Reactions. | Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi |
| 2018 | ACL | Neural Models for Documents with Metadata. | Dallas Card, Chenhao Tan, Noah A. Smith |
| 2018 | ACL | Backpropagating through Structured Argmax using a SPIGOT. | Hao Peng, Sam Thomson, Noah A. Smith |
| 2018 | ACL | Bridging CNNs, RNNs, and Weighted Finite-State Machines. | Roy Schwartz, Sam Thomson, Noah A. Smith |
| 2018 | EMNLP | Rational Recurrences. | Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith |
| 2018 | EMNLP | Syntactic Scaffolds for Semantic Structures. | Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith |
| 2018 | EMNLP | Neural Cross-lingual Named Entity Recognition with Minimal Resources. | Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell |
| 2018 | IUI | Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. | Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith |
| 2018 | NAACL | The Importance of Calibration for Estimating Proportions from Annotations. | Dallas Card, Noah A. Smith |
| 2018 | NAACL | Neural Text Generation in Stories Using Entity Representations as Context. | Elizabeth Clark, Yangfeng Ji, Noah A. Smith |
| 2018 | NAACL | Sounding Board: A User-Centric and Content-Driven Social Chatbot. | Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf |
| 2018 | NAACL | Annotation Artifacts in Natural Language Inference Data. | Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith |
| 2018 | NAACL | Parsing Tweets into Universal Dependencies. | Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith |
| 2018 | NAACL | Learning Joint Semantic Parsers from Disjoint Data. | Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith |
| 2018 | WWW | "You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. | Chenhao Tan, Hao Peng, Noah A. Smith |
| 2017 | ACL | Neural Discourse Structure for Text Categorization. | Yangfeng Ji, Noah A. Smith |
| 2017 | ACL | Deep Multitask Learning for Semantic Dependency Parsing. | Hao Peng, Sam Thomson, Noah A. Smith |
| 2017 | ACL | Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. | Chenhao Tan, Dallas Card, Noah A. Smith |
| 2017 | CoNLL | The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task. | Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith |
| 2017 | EACL | Story Cloze Task: UW NLP System. | Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, Noah A. Smith |
| 2017 | EACL | What Do Recurrent Neural Network Grammars Learn About Syntax? | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith |
| 2017 | EMNLP | Dynamic Entity Representations in Neural Language Models. | Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith |
| 2017 | Interspeech | Multitask Learning with CTC and Segmental CRF for Speech Recognition. | Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith |
| 2016 | CoNLL | Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. | Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith |
| 2016 | EMNLP | Training with Exploration Improves a Greedy Stack LSTM Parser. | Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith |
| 2016 | EMNLP | Analyzing Framing through the Casts of Characters in the News. | Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith |
| 2016 | EMNLP | Character Sequence Models for Colorful Words. | Kazuya Kawakami, Chris Dyer, Bryan R. Routledge, Noah A. Smith |
| 2016 | EMNLP | Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith |
| 2016 | EMNLP | Semi-Supervised Learning of Sequence Models with Method of Moments. | Zita Marinho, Andr F. T. Martins, Shay B. Cohen, Noah A. Smith |
| 2016 | EMNLP | Friends with Motives: Using Text to Infer Influence on SCOTUS. | Yanchuan Sim, Bryan R. Routledge, Noah A. Smith |
| 2016 | Interspeech | Segmental Recurrent Neural Networks for End-to-End Speech Recognition. | Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, Steve Renals |
| 2016 | NAACL | Recurrent Neural Network Grammars. | Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith |
| 2016 | NAACL | Generation from Abstract Meaning Representation using Tree Transducers. | Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell |
| 2016 | WWW | Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? | Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu |
| 2015 | AAAI | Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning. | Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith |
| 2015 | AAAI | The Utility of Text: The Case of Amicus Briefs and the Supreme Court. | Yanchuan Sim, Bryan R. Routledge, Noah A. Smith |
| 2015 | ACL | The Media Frames Corpus: Annotations of Frames Across Issues. | Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik, Noah A. Smith |
| 2015 | ACL | Transition-Based Dependency Parsing with Stack Long Short-Term Memory. | Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith |
| 2015 | ACL | Sparse Overcomplete Word Vector Representations. | Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith |
| 2015 | ACL | Frame-Semantic Role Labeling with Heterogeneous Annotations. | Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime G. Carbonell, Noah A. Smith, Chris Dyer |
| 2015 | CoNLL | A Supertag-Context Model for Weakly-Supervised CCG Parser Learning. | Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith |
| 2015 | EMNLP | Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs. | Miguel Ballesteros, Chris Dyer, Noah A. Smith |
| 2015 | EMNLP | Open Extraction of Fine-Grained Political Statements. | David Bamman, Noah A. Smith |
| 2015 | EMNLP | A Utility Model of Authors in the Scientific Community. | Yanchuan Sim, Bryan R. Routledge, Noah A. Smith |
| 2015 | EMNLP | Extractive Summarization by Maximizing Semantic Volume. | Dani Yogatama, Fei Liu, Noah A. Smith |
| 2015 | EMNLP | Bayesian Optimization of Text Representations. | Dani Yogatama, Lingpeng Kong, Noah A. Smith |
| 2015 | ICML | Learning Word Representations with Hierarchical Sparse Coding. | Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith |
| 2015 | ICWSM | Contextualized Sarcasm Detection on Twitter. | David Bamman, Noah A. Smith |
| 2015 | NAACL | Toward Abstractive Summarization Using Semantic Representations. | Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith |
| 2015 | NAACL | Retrofitting Word Vectors to Semantic Lexicons. | Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard H. Hovy, Noah A. Smith |
| 2015 | NAACL | Transforming Dependencies into Phrase Structures. | Lingpeng Kong, Alexander M. Rush, Noah A. Smith |
| 2015 | NAACL | A Corpus and Model Integrating Multiword Expressions and Supersenses. | Nathan Schneider, Noah A. Smith |
| 2015 | SDM | Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums. | Minghui Qiu, Yanchuan Sim, Noah A. Smith, Jing Jiang |
| 2014 | ACL | Distributed Representations of Geographically Situated Language. | David Bamman, Chris Dyer, Noah A. Smith |
| 2014 | ACL | A Bayesian Mixed Effects Model of Literary Character. | David Bamman, Ted Underwood, Noah A. Smith |
| 2014 | ACL | A Discriminative Graph-Based Parser for the Abstract Meaning Representation. | Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith |
| 2014 | ACL | Simplified Dependency Annotations with GFL-Web. | Michael T. Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith |
| 2014 | ACL | Unsupervised Alignment of Privacy Policies using Hidden Markov Models. | Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith |
| 2014 | ACL | Overview of the 2014 NLP Unshared Task in PoliInformatics. | Noah A. Smith, Claire Cardie, Anne L. Washington, John D. Wilkerson |
| 2014 | ACL | Linguistic Structured Sparsity in Text Categorization. | Dani Yogatama, Noah A. Smith |
| 2014 | COLING | A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. | Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith |
| 2014 | CoNLL | Weakly-Supervised Bayesian Learning of a CCG Supertagger. | Dan Garrette, Chris Dyer, Jason Baldridge, Noah A. Smith |
| 2014 | EMNLP | A Dependency Parser for Tweets. | Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer, Noah A. Smith |
| 2014 | HCOMP | Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. | Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith |
| 2014 | ICML | Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers. | Dani Yogatama, Noah A. Smith |
| 2014 | LREC | Comprehensive Annotation of Multiword Expressions in a Social Web Corpus. | Nathan Schneider, Spencer Onuffer, Nora Kazour, Emily Danchik, Michael T. Mordowanec, Henrietta Conrad, Noah A. Smith |
| 2013 | ACL | Learning Latent Personas of Film Characters. | David Bamman, Brendan O'Connor, Noah A. Smith |
| 2013 | ACL | Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers. | Andr F. T. Martins, Miguel B. Almeida, Noah A. Smith |
| 2013 | ACL | Learning to Extract International Relations from Political Context. | Brendan O'Connor, Brandon M. Stewart, Noah A. Smith |
| 2013 | EMNLP | Translating into Morphologically Rich Languages with Synthetic Phrases. | Victor Chahuneau, Eva Schlinger, Noah A. Smith, Chris Dyer |
| 2013 | EMNLP | Learning Topics and Positions from Debatepedia. | Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang, Noah A. Smith |
| 2013 | EMNLP | Measuring Ideological Proportions in Political Speeches. | Yanchuan Sim, Brice D. L. Acree, Justin H. Gross, Noah A. Smith |
| 2013 | ICWSM | A Penny for Your Tweets: Campaign Contributions and Capitol Hill Microblogs. | Tae Yano, Dani Yogatama, Noah A. Smith |
| 2013 | NAACL | Knowledge-Rich Morphological Priors for Bayesian Language Models. | Victor Chahuneau, Noah A. Smith, Chris Dyer |
| 2013 | NAACL | A Simple, Fast, and Effective Reparameterization of IBM Model 2. | Chris Dyer, Victor Chahuneau, Noah A. Smith |
| 2013 | NAACL | Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. | Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith |
| 2013 | NAACL | Supersense Tagging for Arabic: the MT-in-the-Middle Attack. | Nathan Schneider, Behrang Mohit, Chris Dyer, Kemal Oflazer, Noah A. Smith |
| 2012 | ACL | Coarse Lexical Semantic Annotation with Supersenses: An Arabic Case Study. | Nathan Schneider, Behrang Mohit, Kemal Oflazer, Noah A. Smith |
| 2012 | ACL | Discovering Factions in the Computational Linguistics Community. | Yanchuan Sim, Noah A. Smith, David A. Smith |
| 2012 | ACL | A Probabilistic Model for Canonicalizing Named Entity Mentions. | Dani Yogatama, Yanchuan Sim, Noah A. Smith |
| 2012 | EACL | Recall-Oriented Learning of Named Entities in Arabic Wikipedia. | Behrang Mohit, Nathan Schneider, Rishav Bhowmick, Kemal Oflazer, Noah A. Smith |
| 2012 | EMNLP | Word Salad: Relating Food Prices and Descriptions. | Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis, Noah A. Smith |
| 2012 | NAACL | Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties. | Dipanjan Das, Noah A. Smith |
| 2012 | NAACL | Structured Ramp Loss Minimization for Machine Translation. | Kevin Gimpel, Noah A. Smith |
| 2012 | NAACL | Concavity and Initialization for Unsupervised Dependency Parsing. | Kevin Gimpel, Noah A. Smith |
| 2012 | NAACL | Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications. | Andr F. T. Martins, Mrio A. T. Figueiredo, Noah A. Smith |
| 2012 | NAACL | Textual Predictors of Bill Survival in Congressional Committees. | Tae Yano, Noah A. Smith, John D. Wilkerson |
| 2011 | ACL | Better Hypothesis Testing for Statistical Machine Translation: Controlling for Optimizer Instability. | Jonathan H. Clark, Chris Dyer, Alon Lavie, Noah A. Smith |
| 2011 | ACL | Semi-Supervised Frame-Semantic Parsing for Unknown Predicates. | Dipanjan Das, Noah A. Smith |
| 2011 | ACL | Unsupervised Word Alignment with Arbitrary Features. | Chris Dyer, Jonathan H. Clark, Alon Lavie, Noah A. Smith |
| 2011 | ACL | Discovering Sociolinguistic Associations with Structured Sparsity. | Jacob Eisenstein, Noah A. Smith, Eric P. Xing |
| 2011 | ACL | Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. | Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith |
| 2011 | EMNLP | Unsupervised Bilingual POS Tagging with Markov Random Fields. | Desai Chen, Chris Dyer, Shay B. Cohen, Noah A. Smith |
| 2011 | EMNLP | Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance. | Shay B. Cohen, Dipanjan Das, Noah A. Smith |
| 2011 | EMNLP | Structured Databases of Named Entities from Bayesian Nonparametrics. | Jacob Eisenstein, Tae Yano, William W. Cohen, Noah A. Smith, Eric P. Xing |
| 2011 | EMNLP | Quasi-Synchronous Phrase Dependency Grammars for Machine Translation. | Kevin Gimpel, Noah A. Smith |
| 2011 | EMNLP | Dual Decomposition with Many Overlapping Components. | Andr F. T. Martins, Noah A. Smith, Mrio A. T. Figueiredo, Pedro M. Q. Aguiar |
| 2011 | EMNLP | Structured Sparsity in Structured Prediction. | Andr F. T. Martins, Noah A. Smith, Mrio A. T. Figueiredo, Pedro M. Q. Aguiar |
| 2011 | EMNLP | Predicting a Scientific Community's Response to an Article. | Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, Noah A. Smith |
| 2011 | ICML | An Augmented Lagrangian Approach to Constrained MAP Inference. | Andr F. T. Martins, Mrio A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing |
| 2010 | ACL | Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization. | Shay B. Cohen, Noah A. Smith |
| 2010 | COLING | Nonparametric Word Segmentation for Machine Translation. | ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith |
| 2010 | CoNLL | Distributed Asynchronous Online Learning for Natural Language Processing. | Kevin Gimpel, Dipanjan Das, Noah A. Smith |
| 2010 | EMNLP | A Latent Variable Model for Geographic Lexical Variation. | Jacob Eisenstein, Brendan O'Connor, Noah A. Smith, Eric P. Xing |
| 2010 | EMNLP | Turbo Parsers: Dependency Parsing by Approximate Variational Inference. | Andr F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mrio A. T. Figueiredo |
| 2010 | ICWSM | From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. | Brendan O'Connor, Ramnath Balasubramanyan, Bryan R. Routledge, Noah A. Smith |
| 2010 | ICWSM | What's Worthy of Comment? Content and Comment Volume in Political Blogs. | Tae Yano, Noah A. Smith |
| 2010 | NAACL | Variational Inference for Adaptor Grammars. | Shay B. Cohen, David M. Blei, Noah A. Smith |
| 2010 | NAACL | Probabilistic Frame-Semantic Parsing. | Dipanjan Das, Nathan Schneider, Desai Chen, Noah A. Smith |
| 2010 | NAACL | Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions. | Kevin Gimpel, Noah A. Smith |
| 2010 | NAACL | Good Question! Statistical Ranking for Question Generation. | Michael Heilman, Noah A. Smith |
| 2010 | NAACL | Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions. | Michael Heilman, Noah A. Smith |
| 2010 | NAACL | Rating Computer-Generated Questions with Mechanical Turk. | Michael Heilman, Noah A. Smith |
| 2010 | NAACL | Movie Reviews and Revenues: An Experiment in Text Regression. | Mahesh Joshi, Dipanjan Das, Kevin Gimpel, Noah A. Smith |
| 2010 | NAACL | Shedding (a Thousand Points of) Light on Biased Language. | Tae Yano, Philip Resnik, Noah A. Smith |
| 2009 | ACL | Leveraging Structural Relations for Fluent Compressions at Multiple Compression Rates. | Sourish Chaudhuri, Naman K. Gupta, Noah A. Smith, Carolyn P. Ros |
| 2009 | ACL | Variational Inference for Grammar Induction with Prior Knowledge. | Shay B. Cohen, Noah A. Smith |
| 2009 | ACL | Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition. | Dipanjan Das, Noah A. Smith |
| 2009 | ACL | Concise Integer Linear Programming Formulations for Dependency Parsing. | Andr F. T. Martins, Noah A. Smith, Eric P. Xing |
| 2009 | EACL | Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings. | Kevin Gimpel, Noah A. Smith |
| 2009 | EMNLP | Feature-Rich Translation by Quasi-Synchronous Lattice Parsing. | Kevin Gimpel, Noah A. Smith |
| 2009 | ICML | Polyhedral outer approximations with application to natural language parsing. | Andr F. T. Martins, Noah A. Smith, Eric P. Xing |
| 2009 | ICML | Tutorial summary: Structured prediction for natural language processing. | Noah A. Smith |
| 2009 | ICWSM | From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences. | Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Matthew Hurst, Noah A. Smith |
| 2009 | NAACL | Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction. | Shay B. Cohen, Noah A. Smith |
| 2009 | NAACL | Predicting Risk from Financial Reports with Regression. | Shimon Kogan, Dimitry Levin, Bryan R. Routledge, Jacob S. Sagi, Noah A. Smith |
| 2009 | NAACL | Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation. | Ashish Venugopal, Andreas Zollmann, Noah A. Smith, Stephan Vogel |
| 2009 | NAACL | Predicting Response to Political Blog Posts with Topic Models. | Tae Yano, William W. Cohen, Noah A. Smith |
| 2008 | AMTA | Wider Pipelines: N-Best Alignments and Parses in MT Training. | Ashish Venugopal, Andreas Zollmann, Noah A. Smith, Stephan Vogel |
| 2008 | EMNLP | Stacking Dependency Parsers. | Andr F. T. Martins, Dipanjan Das, Noah A. Smith, Eric P. Xing |
| 2008 | ICLP | Dynamic Programming Algorithms as Products of Weighted Logic Programs. | Shay B. Cohen, Robert J. Simmons, Noah A. Smith |
| 2008 | ICML | Nonextensive entropic kernels. | Andr F. T. Martins, Mrio A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing |
| 2008 | IUI | Relative keyboard input system. | Daniel R. Rashid, Noah A. Smith |
| 2007 | ACL | Computationally Efficient M-Estimation of Log-Linear Structure Models. | Noah A. Smith, Douglas L. Vail, John D. Lafferty |
| 2007 | EMNLP | Joint Morphological and Syntactic Disambiguation. | Shay B. Cohen, Noah A. Smith |
| 2007 | EMNLP | Probabilistic Models of Nonprojective Dependency Trees. | David A. Smith, Noah A. Smith |
| 2007 | EMNLP | What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA. | Mengqiu Wang, Noah A. Smith, Teruko Mitamura |
| 2006 | ACL | Annealing Structural Bias in Multilingual Weighted Grammar Induction. | Noah A. Smith, Jason Eisner |
| 2006 | CoNLL | Vine Parsing and Minimum Risk Reranking for Speed and Precision. | Markus Dreyer, David A. Smith, Noah A. Smith |
| 2005 | ACL | Contrastive Estimation: Training Log-Linear Models on Unlabeled Data. | Noah A. Smith, Jason Eisner |
| 2005 | NAACL | Compiling Comp Ling: Weighted Dynamic Programming and the Dyna Language. | Jason Eisner, Eric Goldlust, Noah A. Smith |
| 2005 | NAACL | Context-Based Morphological Disambiguation with Random Fields. | Noah A. Smith, David A. Smith, Roy W. Tromble |
| 2004 | ACL | Dyna: A Language for Weighted Dynamic Programming. | Jason Eisner, Eric Goldlust, Noah A. Smith |
| 2004 | ACL | Annealing Techniques For Unsupervised Statistical Language Learning. | Noah A. Smith, Jason Eisner |
| 2004 | EMNLP | Bilingual Parsing with Factored Estimation: Using English to Parse Korean. | David A. Smith, Noah A. Smith |
| 2002 | EMNLP | From Words to Corpora: Recognizing Translation. | Noah A. Smith |
| 2000 | LREC | Cairo: An Alignment Visualization Tool. | Noah A. Smith, Michael E. Jahr |