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ORCIDNoah A. Smith
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- affiliation: University of Washington, Seattle, WA, USA
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2021
[i104]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021)- 2020
- [j27]Noah A. Smith:
Contextual word representations: putting words into computers. Commun. ACM 63(6): 66-74 (2020) - [j26]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. Commun. ACM 63(12): 54-63 (2020) - [j25]Marta R. Costa-jussà, Cristina España-Bonet, Pascale Fung, Noah A. Smith:
Multilingual and Interlingual Semantic Representations for Natural Language Processing: A Brief Introduction. Comput. Linguistics 46(2): 249-255 (2020) - [j24]Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. Frontiers Artif. Intell. 3: 34 (2020) - [c209]Tal August, Maarten Sap, Elizabeth Clark, Katharina Reinecke, Noah A. Smith:
Exploring the Effect of Author and Reader Identity in Online Story Writing: the STORIESINTHEWILD Corpus. NUSE@ACL 2020: 46-54 - [c208]William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav
:
A Formal Hierarchy of RNN Architectures. ACL 2020: 443-459 - [c207]Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker:
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. ACL 2020: 1970-1978 - [c206]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. ACL 2020: 2996-3005 - [c205]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c204]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h - 1 Heads is Better than h Heads. ACL 2020: 6566-6577 - [c203]Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. ACL 2020: 6640-6651 - [c202]Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. ACL 2020: 8342-8360 - [c201]Tal August, Dallas Card, Gary Hsieh, Noah A. Smith, Katharina Reinecke:
Explain like I am a Scientist: The Linguistic Barriers of Entry to r/science. CHI 2020: 1-12 - [c200]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. EMNLP (1) 2020: 1252-1267 - [c199]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:
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 2020: 1307-1323 - [c198]Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Treebank, and a Small Corpus. EMNLP (Findings) 2020: 1324-1334 - [c197]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. EMNLP (Findings) 2020: 2810-2829 - [c196]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. EMNLP (Findings) 2020: 3356-3369 - [c195]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. EMNLP (1) 2020: 4563-4568 - [c194]Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) 2020: 4661-4675 - [c193]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. EMNLP (1) 2020: 5012-5025 - [c192]Tal August, Lauren Kim, Katharina Reinecke, Noah A. Smith:
Writing Strategies for Science Communication: Data and Computational Analysis. EMNLP (1) 2020: 5327-5344 - [c191]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. EMNLP (1) 2020: 6076-6092 - [c190]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. EMNLP (1) 2020: 9275-9293 - [i103]Dallas Card, Noah A. Smith:
On Consequentialism and Fairness. CoRR abs/2001.00329 (2020) - [i102]Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith:
Citation Text Generation. CoRR abs/2002.00317 (2020) - [i101]Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah A. Smith:
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping. CoRR abs/2002.06305 (2020) - [i100]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i99]Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna 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:
Evaluating NLP Models via Contrast Sets. CoRR abs/2004.02709 (2020) - [i98]Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith:
The Right Tool for the Job: Matching Model and Instance Complexities. CoRR abs/2004.07453 (2020) - [i97]William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith, Eran Yahav:
A Formal Hierarchy of RNN Architectures. CoRR abs/2004.08500 (2020) - [i96]Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith:
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. CoRR abs/2004.10964 (2020) - [i95]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h-1 Heads is Better than h Heads. CoRR abs/2005.06537 (2020) - [i94]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR abs/2006.10369 (2020) - [i93]Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi:
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics. CoRR abs/2009.10795 (2020) - [i92]Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith:
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models. CoRR abs/2009.11462 (2020) - [i91]Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith:
Grounded Compositional Outputs for Adaptive Language Modeling. CoRR abs/2009.11523 (2020) - [i90]Ethan C. Chau, Lucy H. Lin, Noah A. Smith:
Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank. CoRR abs/2009.14124 (2020) - [i89]Xuhui Zhou, Nikolaos Pappas, Noah A. Smith:
Multilevel Text Alignment with Cross-Document Attention. CoRR abs/2010.01263 (2020) - [i88]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. CoRR abs/2010.02573 (2020) - [i87]Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson:
Plug and Play Autoencoders for Conditional Text Generation. CoRR abs/2010.02983 (2020) - [i86]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. CoRR abs/2010.07526 (2020) - [i85]Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. CoRR abs/2010.07761 (2020) - [i84]William Merrill, Vivek Ramanujan, Yoav Goldberg, Roy Schwartz, Noah A. Smith:
Parameter Norm Growth During Training of Transformers. CoRR abs/2010.09697 (2020) - [i83]Sarah Wiegreffe, Ana Marasovic, Noah A. Smith:
Measuring Association Between Labels and Free-Text Rationales. CoRR abs/2010.12762 (2020) - [i82]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. CoRR abs/2012.05395 (2020) - [i81]Alexander Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. CoRR abs/2012.15793 (2020) - [i80]Ofir Press, Noah A. Smith, Mike Lewis:
Shortformer: Better Language Modeling using Shorter Inputs. CoRR abs/2012.15832 (2020)
2010 – 2019
- 2019
- [j23]Kelvin Luu, Chenhao Tan, Noah A. Smith:
Measuring Online Debaters' Persuasive Skill from Text over Time. Trans. Assoc. Comput. Linguistics 7: 537-550 (2019) - [j22]Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 13(1): 1:1-1:29 (2019) - [c189]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c188]Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith:
The Risk of Racial Bias in Hate Speech Detection. ACL (1) 2019: 1668-1678 - [c187]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. ACL (1) 2019: 1679-1684 - [c186]Elizabeth Clark, Asli Çelikyilmaz, Noah A. Smith:
Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts. ACL (1) 2019: 2748-2760 - [c185]Sofia Serrano, Noah A. Smith:
Is Attention Interpretable? ACL (1) 2019: 2931-2951 - [c184]Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith:
Variational Pretraining for Semi-supervised Text Classification. ACL (1) 2019: 5880-5894 - [c183]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoNLL 2019: 304-315 - [c182]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) 2019: 43-54 - [c181]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) 2019: 1179-1184 - [c180]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Çelikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c179]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. EMNLP/IJCNLP (1) 2019: 2185-2194 - [c178]Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. EMNLP/IJCNLP (1) 2019: 3642-3649 - [c177]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. EMNLP/IJCNLP (1) 2019: 4151-4161 - [c176]Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. EMNLP/IJCNLP (1) 2019: 5924-5931 - [c175]Dallas Card, Michael Zhang, Noah A. Smith:
Deep Weighted Averaging Classifiers. FAT 2019: 369-378 - [c174]Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) 2019: 1073-1094 - [c173]Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. NAACL-HLT (1) 2019: 2171-2179 - [c172]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. NAACL-HLT (1) 2019: 3912-3918 - [c171]Matthew E. Peters, Sebastian Ruder, Noah A. Smith:
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. RepL4NLP@ACL 2019: 7-14 - [i79]Noah A. Smith:
Contextual Word Representations: A Contextual Introduction. CoRR abs/1902.06006 (2019) - [i78]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. CoRR abs/1902.09697 (2019) - [i77]Matthew E. Peters, Sebastian Ruder, Noah A. Smith:
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. CoRR abs/1903.05987 (2019) - [i76]Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith:
Linguistic Knowledge and Transferability of Contextual Representations. CoRR abs/1903.08855 (2019) - [i75]Nelson F. Liu, Roy Schwartz, Noah A. Smith:
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets. CoRR abs/1904.02668 (2019) - [i74]Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer:
Evaluating Gender Bias in Machine Translation. CoRR abs/1906.00591 (2019) - [i73]Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith:
Variational Pretraining for Semi-supervised Text Classification. CoRR abs/1906.02242 (2019) - [i72]Sofia Serrano, Noah A. Smith:
Is Attention Interpretable? CoRR abs/1906.03731 (2019) - [i71]Roy Schwartz, Jesse Dodge, Noah A. Smith, Oren Etzioni:
Green AI. CoRR abs/1907.10597 (2019) - [i70]Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner:
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR abs/1908.05803 (2019) - [i69]Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith:
Shallow Syntax in Deep Water. CoRR abs/1908.11047 (2019) - [i68]Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov:
Topics to Avoid: Demoting Latent Confounds in Text Classification. CoRR abs/1909.00453 (2019) - [i67]Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. CoRR abs/1909.02134 (2019) - [i66]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Çelikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. CoRR abs/1909.02244 (2019) - [i65]Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith:
Show Your Work: Improved Reporting of Experimental Results. CoRR abs/1909.03004 (2019) - [i64]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. CoRR abs/1909.03011 (2019) - [i63]Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. CoRR abs/1909.04164 (2019) - [i62]Deric Pang, Lucy H. Lin, Noah A. Smith:
Improving Natural Language Inference with a Pretrained Parser. CoRR abs/1909.08217 (2019) - [i61]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoRR abs/1909.08744 (2019) - [i60]Lucy H. Lin, Noah A. Smith:
Situating Sentence Embedders with Nearest Neighbor Overlap. CoRR abs/1909.10724 (2019) - [i59]Ofir Press, Noah A. Smith, Omer Levy:
Improving Transformer Models by Reordering their Sublayers. CoRR abs/1911.03864 (2019) - [i58]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR abs/1911.03891 (2019) - 2018
- [j21]Tal August, Nigini Oliveira, Chenhao Tan, Noah A. Smith, Katharina Reinecke:
Framing Effects: Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases. Proc. ACM Hum. Comput. Interact. 2(CSCW): 22:1-22:19 (2018) - [c170]Roy Schwartz, Sam Thomson, Noah A. Smith:
Bridging CNNs, RNNs, and Weighted Finite-State Machines. ACL (1) 2018: 295-305 - [c169]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. ACL (1) 2018: 463-473 - [c168]Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith:
Polyglot Semantic Role Labeling. ACL (2) 2018: 667-672 - [c167]Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. ACL (1) 2018: 1863-1873 - [c166]Dallas Card, Chenhao Tan, Noah A. Smith:
Neural Models for Documents with Metadata. ACL (1) 2018: 2031-2040 - [c165]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-lingual Named Entity Recognition with Minimal Resources. EMNLP 2018: 369-379 - [c164]Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith:
Rational Recurrences. EMNLP 2018: 1203-1214 - [c163]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. EMNLP 2018: 3772-3782 - [c162]Lucy H. Lin, Scott B. Miles, Noah A. Smith:
Natural Language Processing for Analyzing Disaster Recovery Trends Expressed in Large Text Corpora. GHTC 2018: 1-8 - [c161]Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith:
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. IUI 2018: 329-340 - [c160]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) 2018: 96-100 - [c159]Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith:
Annotation Artifacts in Natural Language Inference Data. NAACL-HLT (2) 2018: 107-112 - [c158]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. NAACL-HLT 2018: 965-975 - [c157]Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. NAACL-HLT 2018: 1492-1502 - [c156]Dallas Card, Noah A. Smith:
The Importance of Calibration for Estimating Proportions from Annotations. NAACL-HLT 2018: 1636-1646 - [c155]Elizabeth Clark, Yangfeng Ji, Noah A. Smith:
Neural Text Generation in Stories Using Entity Representations as Context. NAACL-HLT 2018: 2250-2260 - [c154]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. Rep4NLP@ACL 2018: 180-186 - [c153]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. WWW 2018: 945-954 - [i57]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. CoRR abs/1802.08690 (2018) - [i56]Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith:
Annotation Artifacts in Natural Language Inference Data. CoRR abs/1803.02324 (2018) - [i55]Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. CoRR abs/1804.05990 (2018) - [i54]Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith:
Parsing Tweets into Universal Dependencies. CoRR abs/1804.08228 (2018) - [i53]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR abs/1804.10202 (2018) - [i52]Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. CoRR abs/1805.04658 (2018) - [i51]Roy Schwartz, Sam Thomson, Noah A. Smith:
SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines. CoRR abs/1805.06061 (2018) - [i50]Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, Yejin Choi:
Event2Mind: Commonsense Inference on Events, Intents, and Reactions. CoRR abs/1805.06939 (2018) - [i49]Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman M. Sadeh, Noah A. Smith:
Toward Abstractive Summarization Using Semantic Representations. CoRR abs/1805.10399 (2018) - [i48]Phoebe Mulcaire, Swabha Swayamdipta, Noah A. Smith:
Polyglot Semantic Role Labeling. CoRR abs/1805.11598 (2018) - [i47]Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith:
LSTMs Exploit Linguistic Attributes of Data. CoRR abs/1805.11653 (2018) - [i46]Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith:
Rational Recurrences. CoRR abs/1808.09357 (2018) - [i45]Lucy H. Lin, Scott B. Miles, Noah A. Smith:
Semantic Matching Against a Corpus: New Applications and Methods. CoRR abs/1808.09502 (2018) - [i44]Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-Lingual Named Entity Recognition with Minimal Resources. CoRR abs/1808.09861 (2018) - [i43]Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. CoRR abs/1808.10485 (2018) - [i42]Ofir Press, Noah A. Smith:
You May Not Need Attention. CoRR abs/1810.13409 (2018) - [i41]