Spence Green
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 21
- Topic Modeling 21
- Text Readability and Simplification 6
- Speech and dialogue systems 5
- Semantic Web and Ontologies 3
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Christopher D. Manning (17 shared papers)Jeffrey Heer (5 shared papers)John DeNero (3 shared papers)Daniel Cer (5 shared papers)Will Monroe (1 shared paper)Jason Chuang (2 shared papers)Marie-Catherine de Marneffe (1 shared paper)Joern Wuebker (2 shared papers)
- Journals
- Computational Linguistics (1 paper)Queue (1 paper)Communications of the ACM (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)Workshop on Statistical Machine Translation (1 paper)
- Partner nations
- United States
In The Last Decade
Spence Green
21 papers receiving 551 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 574
- Computer Vision and Pattern Recognition 110
- Language and Linguistics 47
- Information Systems 61
- Human-Computer Interaction 13
Countries citing papers authored by Spence Green
This map shows the geographic impact of Spence Green'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 Spence Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spence Green more than expected).
Fields of papers citing papers by Spence Green
This network shows the impact of papers produced by Spence Green. 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 Spence Green. The network helps show where Spence Green may publish in the future.
Co-authors
The 23 scholars most cited alongside Spence Green, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 125 | |
| 2 | Better Arabic Parsing: Baselines, Evaluations, and Analysis | 2010 | 113 |
| 3 | 2014 | 51 | |
| 4 | 2014 | 42 | |
| 5 | A Class-Based Agreement Model for Generating Accurately Inflected Translations | 2012 | 37 |
| 6 | 2014 | 35 | |
| 7 | 2012 | 33 | |
| 8 | 2016 | 30 | |
| 9 | 2014 | 29 | |
| 10 | Fast and Adaptive Online Training of Feature-Rich Translation Models | 2013 | 25 |
| 11 | Improved Models of Distortion Cost for Statistical Machine Translation | 2010 | 21 |
| 12 | 2015 | 19 | |
| 13 | NP Subject Detection in Verb-initial Arabic Clauses | 2009 | 15 |
| 14 | 2014 | 14 | |
| 15 | Entity Clustering Across Languages | 2012 | 12 |
| 16 | 2015 | 6 | |
| 17 | Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task | 2013 | 5 |
| 18 | Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation | 2009 | 5 |
| 19 | 2014 | 4 | |
| 20 | 2015 | 3 |
About Spence Green
Spence Green is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Language and Linguistics, having authored 21 papers that have together received 626 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Topic Modeling (21 papers), Text Readability and Simplification (6 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (3 papers), Biomedical Text Mining and Ontologies (2 papers), Translation Studies and Practices (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Artificial Intelligence (574 citations), Computer Vision and Pattern Recognition (110 citations), Language and Linguistics (47 citations), Information Systems (61 citations) and Human-Computer Interaction (13 citations). Spence Green has collaborated with scholars based in United States. Frequent co-authors include Christopher D. Manning, Jeffrey Heer, John DeNero, Daniel Cer, Will Monroe, Jason Chuang, Marie-Catherine de Marneffe, Joern Wuebker, Michel Galley and Sebastian Schuster. Their work appears in journals such as Computational Linguistics, Queue, Communications of the ACM, Edinburgh Research Explorer (University of Edinburgh) and Workshop on Statistical Machine Translation.
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.