Chris Callison-Burch
- Artificial Intelligence top 0.02%
- Topic Modeling 170
- Natural Language Processing Techniques 158
- Text Readability and Simplification 31
- Advanced Text Analysis Techniques 19
- Speech and dialogue systems 18
- Algorithms and Data Compression 11
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing 18
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- Multimodal Machine Learning Applications 17
- Health Informatics top 2%
- Language and Linguistics top 1%
- Co-authors
- Philipp KoehnOmar F. ZaidanAlexandra BirchChris DyerOndřej BojarMiles OsborneHieu HoangWade Shen
- Cited by
- Artificial IntelligenceComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- Computational Linguistics (5 papers)Transactions of the Association for Computational Linguistics (4 papers)Language Resources and Evaluation (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Chris Callison-Burch
204 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Artificial Intelligence 11.8k
- Computer Science Applications 740
- Computer Vision and Pattern Recognition 1.6k
- Health Informatics 73
- Language and Linguistics 477
Countries citing papers authored by Chris Callison-Burch
This map shows the geographic impact of Chris Callison-Burch'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 Callison-Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Callison-Burch more than expected).
Fields of papers citing papers by Chris Callison-Burch
This network shows the impact of papers produced by Chris Callison-Burch. 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 Callison-Burch. The network helps show where Chris Callison-Burch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Callison-Burch, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 24 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 44 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 14 | |
| 10 | Deduplicating Training Data Makes Language Models Betterbreakdown → | 2022 | 147 |
| 11 | Goal-Oriented Script Construction. | 2021 | 1 |
| 12 | Human and Automatic Detection of Generated Text. | 2019 | 1 |
| 13 | Introducing NIEUW: Novel Incentives and Workflows for Eliciting Linguistic Data. | 2018 | 1 |
| 14 | Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. | 2014 | 10 |
| 15 | 2013 | 26 | |
| 16 | PARMA: A Predicate Argument Aligner | 2013 | 9 |
| 17 | Findings of the 2013 Workshop on Statistical Machine Translation | 2013 | 179 |
| 18 | Proceedings of the Eighth Workshop on Statistical Machine Translation | 2013 | 6 |
| 19 | Machine Translation of Arabic Dialects | 2012 | 121 |
| 20 | Re-evaluating the Role of Bleu in Machine Translation Researchbreakdown → | 2006 | 386 |
About Chris Callison-Burch
Chris Callison-Burch is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, General Social Sciences and Communication, having authored 213 papers that have together received 13.0k indexed citations. Recurring topics across this work include Topic Modeling (170 papers), Natural Language Processing Techniques (158 papers), Text Readability and Simplification (31 papers), Advanced Text Analysis Techniques (19 papers), Speech and dialogue systems (18 papers), Mobile Crowdsensing and Crowdsourcing (18 papers), Multimodal Machine Learning Applications (17 papers) and Algorithms and Data Compression (11 papers). The work is most often cited by research in Artificial Intelligence (11.8k citations), Computer Science Applications (740 citations), Computer Vision and Pattern Recognition (1.6k citations), Health Informatics (73 citations) and Language and Linguistics (477 citations). Chris Callison-Burch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Philipp Koehn, Omar F. Zaidan, Alexandra Birch, Chris Dyer, Ondřej Bojar, Miles Osborne, Hieu Hoang, Wade Shen, Evan Herbst and Brooke Cowan. Their work appears in journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, International Journal of Medical Informatics and PLoS ONE.
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.