Terry Koo
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Machine Learning and Algorithms
- Speech Recognition and Synthesis
- Algorithms and Data Compression
- Semantic Web and Ontologies
Papers in
-
- Natural Language Processing Techniques 7
- Topic Modeling 6
- Machine Learning and Algorithms 3
- Domain Adaptation and Few-Shot Learning 2
- Text Readability and Simplification 1
- Bayesian Modeling and Causal Inference 1
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- Biomedical Text Mining and Ontologies 1
- Machine Learning in Bioinformatics 1
- Co-authors
- Michael J. Collins (4 shared papers)Xavier Carreras (5 shared papers)Michael Collins (2 shared papers)Michael Collins (3 shared papers)Amir Globerson (3 shared papers)Alexander M. Rush (1 shared paper)David Sontag (1 shared paper)Tommi Jaakkola (1 shared paper)
- Journals
- Journal of Machine Learning Research (1 paper)Computational Linguistics (1 paper)RECERCAT (Consorci de Serveis Universitaris de Catalunya) (2 papers)UPCommons institutional repository (Universitat Politècnica de Catalunya) (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
Terry Koo
9 papers receiving 998 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 126
- Information Systems 89
- Signal Processing 30
- Management Science and Operations Research 22
Countries citing papers authored by Terry Koo
This map shows the geographic impact of Terry Koo'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 Terry Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terry Koo more than expected).
Fields of papers citing papers by Terry Koo
This network shows the impact of papers produced by Terry Koo. 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 Terry Koo. The network helps show where Terry Koo may publish in the future.
Co-authors
The 9 scholars most cited alongside Terry Koo, 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 | Simple Semi-supervised Dependency Parsing | 2008 | 280 |
| 2 | 2005 | 251 | |
| 3 | Efficient Third-Order Dependency Parsers | 2010 | 144 |
| 4 | Dual Decomposition for Parsing with Non-Projective Head Automata | 2010 | 110 |
| 5 | 2008 | 90 | |
| 6 | 2008 | 87 | |
| 7 | Structured Prediction Models via the Matrix-Tree Theorem | 2007 | 66 |
| 8 | 2005 | 36 | |
| 9 | 2007 | 33 |
About Terry Koo
Terry Koo is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Machine Learning and Algorithms (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Text Readability and Simplification (1 paper), Biomedical Text Mining and Ontologies (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (126 citations), Information Systems (89 citations), Signal Processing (30 citations) and Management Science and Operations Research (22 citations). Terry Koo has collaborated with scholars based in United States. Frequent co-authors include Michael J. Collins, Xavier Carreras, Michael Collins, Michael Collins, Amir Globerson, Alexander M. Rush, David Sontag, Tommi Jaakkola and Peter L. Bartlett. Their work appears in journals such as Journal of Machine Learning Research, Computational Linguistics, RECERCAT (Consorci de Serveis Universitaris de Catalunya), UPCommons institutional repository (Universitat Politècnica de Catalunya) and DSpace@MIT (Massachusetts Institute of Technology).
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.