Jacob Devlin
- Artificial Intelligence top 0.01%
- Natural Language Processing Techniques 13
- Topic Modeling 12
- Speech Recognition and Synthesis 3
- Speech and dialogue systems 2
- Semantic Web and Ontologies 2
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- Multimodal Machine Learning Applications 5
- Handwritten Text Recognition Techniques 2
- Advanced Image and Video Retrieval Techniques 2
- Information Systems top 0.2%
- General Social Sciences top 0.1%
- Health Informatics top 2%
- Co-authors
- Kenton LeeMing‐Wei ChangKristina ToutanovaChris AlbertiMichael CollinsRabih ZbibRichard SchwartzJohn Makhoul
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Computer Speech & Language (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Jacob Devlin
20 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 14.2k
- Computer Vision and Pattern Recognition 3.8k
- Information Systems 1.9k
- General Social Sciences 212
- Health Informatics 87
Countries citing papers authored by Jacob Devlin
This map shows the geographic impact of Jacob Devlin'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 Jacob Devlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Devlin more than expected).
Fields of papers citing papers by Jacob Devlin
This network shows the impact of papers produced by Jacob Devlin. 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 Jacob Devlin. The network helps show where Jacob Devlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacob Devlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2019 | 108 | |
| 3 | 2019 | 14508 | |
| 4 | Natural Questions: A Benchmark for Question Answering Researchbreakdown → | 2019 | 984 |
| 5 | 2018 | 17 | |
| 6 | 2017 | 35 | |
| 7 | 2016 | 138 | |
| 8 | On Available Corpora for Empirical Methods in Vision & Language. | 2015 | 1 |
| 9 | 2015 | 131 | |
| 10 | 2015 | 2 | |
| 11 | Fast and Robust Neural Network Joint Models for Statistical Machine Translationbreakdown → | 2014 | 293 |
| 12 | 2013 | 8 | |
| 13 | Unsupervised Morphology Rivals Supervised Morphology for Arabic MT | 2012 | 12 |
| 14 | Machine Translation of Arabic Dialects | 2012 | 121 |
| 15 | Trait-Based Hypothesis Selection For Machine Translation | 2012 | 9 |
| 16 | 2012 | 11 | |
| 17 | System Combination Using Discriminative Cross-Adaptation | 2011 | 2 |
| 18 | BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation. | 2011 | 8 |
| 19 | 2011 | 10 | |
| 20 | 2001 | 1 |
About Jacob Devlin
Jacob Devlin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 20 papers that have together received 16.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (12 papers), Multimodal Machine Learning Applications (5 papers), Speech Recognition and Synthesis (3 papers), Speech and dialogue systems (2 papers), Handwritten Text Recognition Techniques (2 papers), Semantic Web and Ontologies (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (14.2k citations), Computer Vision and Pattern Recognition (3.8k citations) and Information Systems (1.9k citations). Jacob Devlin has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Kenton Lee, Ming‐Wei Chang, Kristina Toutanova, Chris Alberti, Michael Collins, Rabih Zbib, Richard Schwartz, John Makhoul, Matthew Kelcey and Tom Kwiatkowski. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computer Speech & Language, NeuroImage, International Joint Conference on Natural Language Processing and North American Chapter of the Association for Computational Linguistics.
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.