Phil Blunsom
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Speech Recognition and Synthesis
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 50
- Natural Language Processing Techniques 49
- Speech Recognition and Synthesis 10
- Speech and dialogue systems 9
- Algorithms and Data Compression 7
- Advanced Text Analysis Techniques 3
- Text Readability and Simplification 3
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- Multimodal Machine Learning Applications 10
- Co-authors
- Nal Kalchbrenner (3 shared papers)Edward Grefenstette (6 shared papers)Karl Moritz Hermann (9 shared papers)Trevor Cohn (10 shared papers)Chris Dyer (12 shared papers)Dani Yogatama (4 shared papers)Sharon Goldwater (4 shared papers)Tomáš Kočiský (2 shared papers)
- Journals
- Machine Translation (2 papers)Transactions of the Association for Computational Linguistics (2 papers)Journal of Machine Learning Research (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)PolyPublie (École Polytechnique de Montréal) (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Phil Blunsom
60 papers receiving 4.7k citations
Phil Blunsom's Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 4.2k
- Computer Vision and Pattern Recognition 983
- Information Systems 617
- Software 95
- Signal Processing 226
Countries citing papers authored by Phil Blunsom
This map shows the geographic impact of Phil Blunsom'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 Phil Blunsom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Blunsom more than expected).
Fields of papers citing papers by Phil Blunsom
This network shows the impact of papers produced by Phil Blunsom. 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 Phil Blunsom. The network helps show where Phil Blunsom may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Blunsom, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Convolutional Neural Network for Modelling Sentences Hit paper breakdown → | 2014 | 2231 |
| 2 | Recurrent Continuous Translation Models Hit paper breakdown → | 2013 | 683 |
| 3 | 2016 | 179 | |
| 4 | cdec: A Decoder‚ Alignment‚ and Learning framework for finite−state and context−free translation models | 2010 | 175 |
| 5 | 2014 | 166 | |
| 6 | 2017 | 163 | |
| 7 | 2018 | 154 | |
| 8 | 2014 | 113 | |
| 9 | The Role of Syntax in Vector Space Models of Compositional Semantics | 2013 | 96 |
| 10 | 2015 | 75 | |
| 11 | 2018 | 69 | |
| 12 | 2014 | 57 | |
| 13 | Inducing Tree-Substitution Grammars | 2010 | 53 |
| 14 | Discovering Discrete Latent Topics with Neural Variational Inference | 2017 | 52 |
| 15 | Proceedings of the ACL-IJCNLP 2009 Conference Short Papers | 2009 | 51 |
| 16 | Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing | 2010 | 48 |
| 17 | Recurrent Convolutional Neural Networks for Discourse Compositionality | 2013 | 48 |
| 18 | 2020 | 45 | |
| 19 | A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction | 2011 | 43 |
| 20 | 2009 | 43 |
About Phil Blunsom
Phil Blunsom is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Social Psychology and Statistical and Nonlinear Physics, having authored 60 papers that have together received 5.1k indexed citations. Recurring topics across this work include Topic Modeling (50 papers), Natural Language Processing Techniques (49 papers), Multimodal Machine Learning Applications (10 papers), Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (9 papers), Algorithms and Data Compression (7 papers), Advanced Text Analysis Techniques (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (983 citations), Information Systems (617 citations), Software (95 citations) and Signal Processing (226 citations). Phil Blunsom has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Nal Kalchbrenner, Edward Grefenstette, Karl Moritz Hermann, Trevor Cohn, Chris Dyer, Dani Yogatama, Sharon Goldwater, Tomáš Kočiský, Ling Wang and Oana-Maria Camburu. Their work appears in journals such as Machine Translation, Transactions of the Association for Computational Linguistics, Journal of Machine Learning Research, IEEE Transactions on Neural Networks and Learning Systems and PolyPublie (École Polytechnique de Montréal).
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.