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
-
- 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
-
- Multimodal Machine Learning Applications 10
- Co-authors
- Nal KalchbrennerEdward GrefenstetteKarl Moritz HermannTrevor CohnChris DyerDani YogatamaSharon GoldwaterTomáš Kočiský
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Machine Translation (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Journal of Machine Learning Research (1 paper)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Phil Blunsom
60 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 4.2k
- Computer Vision and Pattern Recognition 980
- Information Systems 610
- Software 94
- Signal Processing 227
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2022 | 16 | |
| 3 | 2020 | 44 | |
| 4 | Discovering Discrete Latent Topics with Neural Variational Inference | 2017 | 51 |
| 5 | A Convolutional Neural Network for Modelling Sentences Hit paper breakdown → | 2014 | 2216 |
| 6 | Bayesian Optimisation for Machine Translation | 2014 | 1 |
| 7 | 2014 | 14 | |
| 8 | Recurrent Convolutional Neural Networks for Discourse Compositionality | 2013 | 48 |
| 9 | Collapsed Variational Bayesian Inference for PCFGs | 2013 | 5 |
| 10 | The Role of Syntax in Vector Space Models of Compositional Semantics | 2013 | 96 |
| 11 | A Simple Model for Learning Multilingual Compositional Semantics | 2013 | 5 |
| 12 | An Unsupervised Ranking Model for Noun-Noun Compositionality | 2012 | 9 |
| 13 | The PASCAL Challenge on Grammar Induction | 2012 | 14 |
| 14 | A Bayesian Model for Learning SCFGs with Discontiguous Rules | 2012 | 15 |
| 15 | A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction | 2011 | 43 |
| 16 | Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing | 2010 | 48 |
| 17 | Inducing Tree-Substitution Grammars | 2010 | 52 |
| 18 | Blocked Inference in Bayesian Tree Substitution Grammars | 2010 | 15 |
| 19 | Proceedings of the ACL-IJCNLP 2009 Conference Short Papers | 2009 | 50 |
| 20 | Bayesian Synchronous Grammar Induction | 2008 | 35 |
About Phil Blunsom
Phil Blunsom is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cultural Studies, Statistics and Probability and Signal Processing, having authored 60 papers that have together received 5.0k indexed citations. Recurring topics across this work include Topic Modeling (50 papers), Natural Language Processing Techniques (49 papers), Speech Recognition and Synthesis (10 papers), Multimodal Machine Learning Applications (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 (980 citations), Information Systems (610 citations), Software (94 citations) and Signal Processing (227 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 Transactions of the Association for Computational Linguistics, Machine Translation, IEEE Transactions on Neural Networks and Learning Systems, Journal of Machine Learning Research and SHILAP Revista de lepidopterología.
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.