Chris Quirk
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 65
- Natural Language Processing Techniques 64
- Text Readability and Simplification 17
- Speech and dialogue systems 12
- Speech Recognition and Synthesis 6
- Algorithms and Data Compression 4
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- Multimodal Machine Learning Applications 7
- Co-authors
- Chris Brockett (7 shared papers)Bill Dolan (5 shared papers)Arul Menezes (13 shared papers)Kristina Toutanova (10 shared papers)Colin Cherry (5 shared papers)Michel Galley (10 shared papers)Hoifung Poon (4 shared papers)Wen-tau Yih (3 shared papers)
- Journals
- Journal of Hazardous Materials (1 paper)Bioinformatics (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Environmental Science & Technology (1 paper)Meeting of the Association for Computational Linguistics (6 papers)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Chris Quirk
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 2.4k
- Computer Vision and Pattern Recognition 355
- Computer Science Applications 69
- Information Systems 279
- Software 43
Countries citing papers authored by Chris Quirk
This map shows the geographic impact of Chris Quirk'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 Quirk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Quirk more than expected).
Fields of papers citing papers by Chris Quirk
This network shows the impact of papers produced by Chris Quirk. 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 Quirk. The network helps show where Chris Quirk may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Quirk, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 458 | |
| 2 | 2017 | 280 | |
| 3 | 2005 | 277 | |
| 4 | Monolingual Machine Translation for Paraphrase Generation | 2004 | 209 |
| 5 | 2013 | 169 | |
| 6 | Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment | 2010 | 124 |
| 7 | 2015 | 92 | |
| 8 | 2016 | 76 | |
| 9 | A Large Scale Ranker-Based System for Search Query Spelling Correction | 2010 | 74 |
| 10 | 2015 | 57 | |
| 11 | Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing | 2008 | 49 |
| 12 | Novel positional encodings to enable tree-based transformers | 2019 | 45 |
| 13 | 2014 | 43 | |
| 14 | Generative models of noisy translations with applications to parallel fragment extraction | 2007 | 41 |
| 15 | 2018 | 40 | |
| 16 | 2006 | 39 | |
| 17 | 2021 | 38 | |
| 18 | Learning Phrase-Based Spelling Error Models from Clickthrough Data | 2010 | 34 |
| 19 | 2009 | 32 | |
| 20 | 2008 | 30 |
About Chris Quirk
Chris Quirk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Social Psychology, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include Topic Modeling (65 papers), Natural Language Processing Techniques (64 papers), Text Readability and Simplification (17 papers), Speech and dialogue systems (12 papers), Multimodal Machine Learning Applications (7 papers), Speech Recognition and Synthesis (6 papers), Biomedical Text Mining and Ontologies (6 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Computer Vision and Pattern Recognition (355 citations), Computer Science Applications (69 citations), Information Systems (279 citations) and Software (43 citations). Chris Quirk has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Chris Brockett, Bill Dolan, Arul Menezes, Kristina Toutanova, Colin Cherry, Michel Galley, Hoifung Poon, Wen-tau Yih, William B. Dolan and Nanyun Peng. Their work appears in journals such as Journal of Hazardous Materials, Bioinformatics, Transactions of the Association for Computational Linguistics, Environmental Science & Technology and Meeting 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.