Chris Quirk
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 2%
- Molecular Biology
- Computer Science Applications top 5%
- Co-authors
- Chris BrockettBill DolanArul MenezesKristina ToutanovaColin CherryMichel GalleyHoifung PoonWen-tau Yih
- Topics
- Topic Modeling (65 papers)Natural Language Processing Techniques (64 papers)Text Readability and Simplification (17 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Chris Quirk
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 2.4k
- Computer Vision and Pattern Recognition 353
- Information Systems 277
- Molecular Biology 256
- Computer Science Applications 69
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-authorship network of co-authors of Chris Quirk
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Quirk. A scholar is included among the top collaborators of Chris Quirk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Quirk. Chris Quirk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Novel positional encodings to enable tree-based transformers | 44 |
| 2 | 74 | |
| 3 | Exact Maximum Inference for the Fertility Hidden Markov Model | 1 |
| 4 | Beyond Left-to-Right: Multiple Decomposition Structures for SMT | 16 |
| 5 | Leave-One-Out Phrase Model Training for Large-Scale Deployment | 5 |
| 6 | MSR SPLAT, a language analysis toolkit | 21 |
| 7 | On Hierarchical Re-ordering and Permutation Parsing for Phrase-based Decoding | 12 |
| 8 | MSR-NLP Entry in BioNLP Shared Task 2011 | 23 |
| 9 | Optimal Search for Minimum Error Rate Training | 10 |
| 10 | Gappy Phrasal Alignment By Agreement | 11 |
| 11 | Top-Down K-Best A* Parsing | 5 |
| 12 | Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment | 124 |
| 13 | Learning Phrase-Based Spelling Error Models from Clickthrough Data | 34 |
| 14 | A Discriminative Lexicon Model for Complex Morphology. | 14 |
| 15 | A Large Scale Ranker-Based System for Search Query Spelling Correction | 74 |
| 16 | Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing | 49 |
| 17 | Discriminative, Syntactic Language Modeling through Latent SVMs | 22 |
| 18 | Microsoft research treelet translation system: IWSLT evaluation. | 13 |
| 19 | 14 | |
| 20 | 11 |
About Chris Quirk
Chris Quirk is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Vision and Pattern Recognition, 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) and Text Readability and Simplification (17 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Computer Vision and Pattern Recognition (353 citations) and Computer Science Applications (69 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 Environmental Science & Technology, Bioinformatics and Journal of Hazardous Materials.
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.