Chris Dyer
Impact in
- Artificial Intelligence top 0.01%
- Natural Language Processing Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
- Text and Document Classification Technologies
- Speech and dialogue systems
- Information Systems top 0.5%
Papers in
-
- Natural Language Processing Techniques 134
- Topic Modeling 48
- Speech Recognition and Synthesis 9
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- Multimodal Machine Learning Applications 2
- Co-authors
- Miguel Ballesteros (13 shared papers)Noah A. Smith (41 shared papers)Eduard H. Hovy (5 shared papers)Kazuya Kawakami (6 shared papers)Guillaume Lample (3 shared papers)Diyi Yang (2 shared papers)Zichao Yang (2 shared papers)Alex J. Smola (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (7 papers)Computational Linguistics (3 papers)Language Resources and Evaluation (3 papers)Synthesis lectures on human language technologies (3 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Chris Dyer
167 papers receiving 20.2k citations
Chris Dyer's Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 18.2k
- Information Systems 1.2k
- Computer Vision and Pattern Recognition 1k
- General Social Sciences 128
- Language and Linguistics 412
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 175 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical Attention Networks for Document Classification Hit paper breakdown → | 2016 | 3644 |
| 2 | Moses Hit paper breakdown → | 2007 | 3589 |
| 3 | Neural Architectures for Named Entity Recognition Hit paper breakdown → | 2016 | 3131 |
| 4 | Moses : open source toolkit for statistical machine translation Hit paper breakdown → | 2007 | 1217 |
| 5 | Retrofitting Word Vectors to Semantic Lexicons Hit paper breakdown → | 2015 | 521 |
| 6 | Transition-Based Dependency Parsing with Stack Long Short-Term Memory Hit paper breakdown → | 2015 | 435 |
| 7 | Improving Vector Space Word Representations Using Multilingual Correlation Hit paper breakdown → | 2014 | 424 |
| 8 | A Simple, Fast, and Effective Reparameterization of IBM Model 2 Hit paper breakdown → | 2018 | 404 |
| 9 | Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation Hit paper breakdown → | 2015 | 403 |
| 10 | The NarrativeQA Reading Comprehension Challenge Hit paper breakdown → | 2018 | 370 |
| 11 | Transition-Based Dependency Parsing with Stack Long Short-Term Memory Hit paper breakdown → | 2015 | 348 |
| 12 | Recurrent Neural Network Grammars Hit paper breakdown → | 2016 | 332 |
| 13 | 2015 | 267 | |
| 14 | 2015 | 247 | |
| 15 | 2014 | 223 | |
| 16 | 2017 | 209 | |
| 17 | 2011 | 207 | |
| 18 | 2015 | 202 | |
| 19 | 2018 | 190 | |
| 20 | cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models | 2010 | 181 |
About Chris Dyer
Chris Dyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Experimental and Cognitive Psychology and Literature and Literary Theory, having authored 175 papers that have together received 21.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (134 papers), Topic Modeling (48 papers), Speech Recognition and Synthesis (9 papers), Cloud Computing and Resource Management (3 papers), Neurobiology of Language and Bilingualism (2 papers), Nitrogen and Sulfur Effects on Brassica (2 papers), Syntax, Semantics, Linguistic Variation (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (18.2k citations), Information Systems (1.2k citations), Computer Vision and Pattern Recognition (1k citations), General Social Sciences (128 citations) and Language and Linguistics (412 citations). Chris Dyer has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Miguel Ballesteros, Noah A. Smith, Eduard H. Hovy, Kazuya Kawakami, Guillaume Lample, Diyi Yang, Zichao Yang, Alex J. Smola, Xiaodong He and Manaal Faruqui. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Language Resources and Evaluation, Synthesis lectures on human language technologies and IEEE Journal of Selected Topics in Signal Processing.
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.