Noah A. Smith
Impact in
- Artificial Intelligence top 0.02%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Speech and dialogue systems
- Text and Document Classification Technologies
- General Social Sciences top 0.05%
Papers in
-
- Topic Modeling 192
- Natural Language Processing Techniques 186
- Speech and dialogue systems 23
- Text Readability and Simplification 19
- Advanced Text Analysis Techniques 15
- Speech Recognition and Synthesis 15
- Machine Learning and Algorithms 14
-
- Multimodal Machine Learning Applications 31
- Co-authors
- Chris Dyer (37 shared papers)Bryan Routledge (12 shared papers)Brendan O’Connor (3 shared papers)Ramnath Balasubramanyan (1 shared paper)Jesse Dodge (9 shared papers)Dipanjan Das (16 shared papers)Roy Schwartz (13 shared papers)Michael Heilman (9 shared papers)
- Journals
- Computational Linguistics (7 papers)Transactions of the Association for Computational Linguistics (6 papers)Journal of Machine Learning Research (3 papers)Synthesis lectures on human language technologies (2 papers)Communications of the ACM (2 papers)
- Partner nations
- United StatesPortugalUnited Kingdom
In The Last Decade
Noah A. Smith
258 papers receiving 14.0k citations
Noah A. Smith's Hit Papers
Peers
Comparison fields: 5 of 177
- Artificial Intelligence 12.1k
- General Social Sciences 327
- Computer Vision and Pattern Recognition 2.0k
- Communication 645
- Health Informatics 114
Countries citing papers authored by Noah A. Smith
This map shows the geographic impact of Noah A. Smith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noah A. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah A. Smith more than expected).
Fields of papers citing papers by Noah A. Smith
This network shows the impact of papers produced by Noah A. Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noah A. Smith. The network helps show where Noah A. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah A. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 274 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series Hit paper breakdown → | 2010 | 1426 |
| 2 | Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Hit paper breakdown → | 2011 | 779 |
| 3 | Green AI Hit paper breakdown → | 2020 | 752 |
| 4 | Retrofitting Word Vectors to Semantic Lexicons Hit paper breakdown → | 2015 | 483 |
| 5 | ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning Hit paper breakdown → | 2019 | 481 |
| 6 | The Risk of Racial Bias in Hate Speech Detection Hit paper breakdown → | 2019 | 468 |
| 7 | Transition-Based Dependency Parsing with Stack Long Short-Term Memory Hit paper breakdown → | 2015 | 421 |
| 8 | Knowledge Enhanced Contextual Word Representations Hit paper breakdown → | 2019 | 395 |
| 9 | 2003 | 382 | |
| 10 | A Simple, Fast, and Effective Reparameterization of IBM Model 2 Hit paper breakdown → | 2018 | 341 |
| 11 | Self-Instruct: Aligning Language Models with Self-Generated Instructions Hit paper breakdown → | 2023 | 329 |
| 12 | What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA | 2007 | 268 |
| 13 | 2005 | 225 | |
| 14 | 2014 | 202 | |
| 15 | 2013 | 199 | |
| 16 | 2018 | 184 | |
| 17 | 2009 | 180 | |
| 18 | 2018 | 177 | |
| 19 | 2018 | 176 | |
| 20 | 2015 | 168 |
About Noah A. Smith
Noah A. Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Sociology and Political Science and Information Systems, having authored 274 papers that have together received 15.1k indexed citations. Recurring topics across this work include Topic Modeling (192 papers), Natural Language Processing Techniques (186 papers), Multimodal Machine Learning Applications (31 papers), Speech and dialogue systems (23 papers), Text Readability and Simplification (19 papers), Advanced Text Analysis Techniques (15 papers), Speech Recognition and Synthesis (15 papers) and Machine Learning and Algorithms (14 papers). The work is most often cited by research in Artificial Intelligence (12.1k citations), General Social Sciences (327 citations), Computer Vision and Pattern Recognition (2.0k citations), Communication (645 citations) and Health Informatics (114 citations). Noah A. Smith has collaborated with scholars based in United States, Portugal and United Kingdom. Frequent co-authors include Chris Dyer, Bryan Routledge, Brendan O’Connor, Ramnath Balasubramanyan, Jesse Dodge, Dipanjan Das, Roy Schwartz, Michael Heilman, Yejin Choi and Nathan Schneider. Their work appears in journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics, Journal of Machine Learning Research, Synthesis lectures on human language technologies and Communications of the ACM.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.