Noah Constant
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 18
- Topic Modeling 16
- Advanced Text Analysis Techniques 2
- Speech Recognition and Synthesis 2
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- Syntax, Semantics, Linguistic Variation 6
- Language, Discourse, Communication Strategies 5
- Co-authors
- Rami Al‐Rfou (6 shared papers)Daniel Cer (7 shared papers)Aditya Barua (4 shared papers)Mihir Kale (3 shared papers)Linting Xue (3 shared papers)Colin Raffel (2 shared papers)Adam P. Roberts (2 shared papers)Yinfei Yang (6 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Linguistics and Philosophy (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Scholarly Commons (University of Pennsylvania) (1 paper)Proceedings from Semantics and Linguistic Theory (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Noah Constant
23 papers receiving 2.9k citations
Noah Constant's Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 574
- Health Informatics 22
- General Social Sciences 48
- Information Systems 345
Countries citing papers authored by Noah Constant
This map shows the geographic impact of Noah Constant'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 Constant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Constant more than expected).
Fields of papers citing papers by Noah Constant
This network shows the impact of papers produced by Noah Constant. 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 Constant. The network helps show where Noah Constant may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Constant, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer Hit paper breakdown → | 2021 | 993 |
| 2 | Universal Sentence Encoder for English Hit paper breakdown → | 2018 | 819 |
| 3 | Multilingual Universal Sentence Encoder for Semantic Retrieval Hit paper breakdown → | 2020 | 267 |
| 4 | 2019 | 179 | |
| 5 | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Hit paper breakdown → | 2022 | 162 |
| 6 | 2022 | 137 | |
| 7 | 2022 | 122 | |
| 8 | 2018 | 90 | |
| 9 | 2012 | 90 | |
| 10 | 2018 | 58 | |
| 11 | The pragmatics of expressive content: Evidence from large corpora | 2009 | 32 |
| 12 | 2024 | 29 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 23 | |
| 15 | 2023 | 18 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2012 | 9 | |
| 19 | 2021 | 7 | |
| 20 | Mandarin 'even', `all' and the Trigger of Focus Movement | 2010 | 6 |
About Noah Constant
Noah Constant is a scholar working on Artificial Intelligence, Language and Linguistics, Computer Vision and Pattern Recognition, Linguistics and Language and Experimental and Cognitive Psychology, having authored 23 papers that have together received 3.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (16 papers), Syntax, Semantics, Linguistic Variation (6 papers), Language, Discourse, Communication Strategies (5 papers), Multimodal Machine Learning Applications (5 papers), Linguistic Variation and Morphology (2 papers), Advanced Text Analysis Techniques (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (574 citations), Health Informatics (22 citations), General Social Sciences (48 citations) and Information Systems (345 citations). Noah Constant has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Rami Al‐Rfou, Daniel Cer, Aditya Barua, Mihir Kale, Linting Xue, Colin Raffel, Adam P. Roberts, Yinfei Yang, Aditya Siddhant and Brian Strope. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Linguistics and Philosophy, Findings of the Association for Computational Linguistics: ACL 2022, Scholarly Commons (University of Pennsylvania) and Proceedings from Semantics and Linguistic Theory.
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.