Chris Dyer
Impact in
- Artificial Intelligence top 0.01%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Speech and dialogue systems
-
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 127
- Topic Modeling 123
- Text Readability and Simplification 19
- Speech Recognition and Synthesis 19
- Speech and dialogue systems 18
- Semantic Web and Ontologies 10
- Advanced Text Analysis Techniques 8
-
- Multimodal Machine Learning Applications 16
- Co-authors
- Miguel Ballesteros (8 shared papers)Eduard Hovy (4 shared papers)Noah A. Smith (37 shared papers)Diyi Yang (2 shared papers)Kazuya Kawakami (4 shared papers)Guillaume Lample (2 shared papers)Zichao Yang (2 shared papers)Alex Smola (2 shared papers)
- Journals
- BMJ (4 papers)Computational Linguistics (3 papers)Language Resources and Evaluation (3 papers)Transactions of the Association for Computational Linguistics (3 papers)Physiological Entomology (2 papers)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Chris Dyer
169 papers receiving 15.6k citations
Chris Dyer's Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 14.7k
- Computer Vision and Pattern Recognition 2.5k
- Information Systems 1.8k
- Signal Processing 599
- Management Science and Operations Research 582
Countries citing papers authored by Chris Dyer
This map shows the geographic impact of Chris Dyer'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 Chris Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Dyer more than expected).
Fields of papers citing papers by Chris Dyer
This network shows the impact of papers produced by Chris Dyer. 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 Chris Dyer. The network helps show where Chris Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Dyer, 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Moses Hit paper breakdown → | 2007 | 3170 |
| 2 | Hierarchical Attention Networks for Document Classification Hit paper breakdown → | 2016 | 2988 |
| 3 | Neural Architectures for Named Entity Recognition Hit paper breakdown → | 2016 | 2521 |
| 4 | Moses: Open Source Toolkit for Statistical Machine Translation Hit paper breakdown → | 2007 | 1109 |
| 5 | Retrofitting Word Vectors to Semantic Lexicons Hit paper breakdown → | 2015 | 430 |
| 6 | Transition-Based Dependency Parsing with Stack Long Short-Term Memory Hit paper breakdown → | 2015 | 357 |
| 7 | Improving Vector Space Word Representations Using Multilingual Correlation Hit paper breakdown → | 2014 | 327 |
| 8 | 2018 | 319 | |
| 9 | Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation Hit paper breakdown → | 2015 | 304 |
| 10 | Data-intensive text processing with MapReduce Hit paper breakdown → | 2009 | 279 |
| 11 | 2015 | 205 | |
| 12 | 2015 | 198 | |
| 13 | 2014 | 188 | |
| 14 | 2011 | 186 | |
| 15 | cdec: A Decoder‚ Alignment‚ and Learning framework for finite−state and context−free translation models | 2010 | 175 |
| 16 | 2017 | 163 | |
| 17 | 2018 | 154 | |
| 18 | 2014 | 144 | |
| 19 | 2014 | 137 | |
| 20 | 2010 | 135 |
About Chris Dyer
Chris Dyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Molecular Biology and Information Systems, having authored 184 papers that have together received 17.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (127 papers), Topic Modeling (123 papers), Text Readability and Simplification (19 papers), Speech Recognition and Synthesis (19 papers), Speech and dialogue systems (18 papers), Multimodal Machine Learning Applications (16 papers), Semantic Web and Ontologies (10 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (14.7k citations), Computer Vision and Pattern Recognition (2.5k citations), Information Systems (1.8k citations), Signal Processing (599 citations) and Management Science and Operations Research (582 citations). Chris Dyer has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Miguel Ballesteros, Eduard Hovy, Noah A. Smith, Diyi Yang, Kazuya Kawakami, Guillaume Lample, Zichao Yang, Alex Smola, Sandeep Subramanian and Xiaodong He. Their work appears in journals such as BMJ, Computational Linguistics, Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and Physiological Entomology.
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.