Ted Pedersen
- Artificial Intelligence top 0.2%
- Natural Language Processing Techniques 76
- Topic Modeling 72
- Advanced Text Analysis Techniques 19
- Speech and dialogue systems 12
- Semantic Web and Ontologies 10
- Text and Document Classification Technologies 7
- Information Systems top 1%
- Data Mining Algorithms and Applications 10
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies 25
- Co-authors
- Siddharth PatwardhanSatanjeev BanerjeeSerguei PakhomovBridget T. McInnesChristopher G. ChuteRada MihalceaRebecca BruceAmruta Purandare
- Journals
- Journal of Biomedical Informatics (4 papers)Language Resources and Evaluation (2 papers)Computational Linguistics (1 paper)
- Partner nations
- United StatesSpainNetherlands
In The Last Decade
Ted Pedersen
102 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 3.6k
- Information Systems 676
- Molecular Biology 1.1k
- Computer Vision and Pattern Recognition 317
- Health Information Management 66
Countries citing papers authored by Ted Pedersen
This map shows the geographic impact of Ted Pedersen'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 Ted Pedersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Pedersen more than expected).
Fields of papers citing papers by Ted Pedersen
This network shows the impact of papers produced by Ted Pedersen. 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 Ted Pedersen. The network helps show where Ted Pedersen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ted Pedersen, 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 | Age and Gender Prediction on Health Forum Data | 2016 | 4 |
| 2 | 2015 | 38 | |
| 3 | UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts | 2013 | 6 |
| 4 | 2012 | 4 | |
| 5 | The "Language Muse"? System: Linguistically Focused Instructional Authoring. Research Report. ETS RR-12-21. | 2012 | 3 |
| 6 | Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation | 2011 | 11 |
| 7 | Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas | 2010 | 13 |
| 8 | How many different John Smiths, and who are they? | 2006 | 1 |
| 9 | Identifying similar words and contexts in natural language with SenseClusters | 2005 | 3 |
| 10 | Proceedings of the ACL Workshop on Building and Using Parallel Texts | 2005 | 9 |
| 11 | SenseRelate targetword: a generalized framework for word sense disambiguation | 2005 | 43 |
| 12 | Discriminating among word meanings by identifying similar contexts | 2004 | 1 |
| 13 | Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3 | 2004 | 6 |
| 14 | Word Sense Discrimination by Clustering Contexts in Vector and Similarity Spaces | 2004 | 100 |
| 15 | SenseClusters - finding clusters that represent word senses | 2004 | 17 |
| 16 | WordNet: similarity - measuring the relatedness of conceptsbreakdown → | 2004 | 550 |
| 17 | Dependent bigram identification | 1998 | 7 |
| 18 | A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment | 1997 | 3 |
| 19 | Knowledge lean word sense disambiguation | 1997 | 36 |
| 20 | Significant lexical relationships | 1996 | 19 |
About Ted Pedersen
Ted Pedersen is a scholar working on Artificial Intelligence, Information Systems, Language and Linguistics, Molecular Biology and General Social Sciences, having authored 108 papers that have together received 4.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (76 papers), Topic Modeling (72 papers), Biomedical Text Mining and Ontologies (25 papers), Advanced Text Analysis Techniques (19 papers), Speech and dialogue systems (12 papers), Data Mining Algorithms and Applications (10 papers), Semantic Web and Ontologies (10 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Information Systems (676 citations), Molecular Biology (1.1k citations), Computer Vision and Pattern Recognition (317 citations) and Health Information Management (66 citations). Ted Pedersen has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Siddharth Patwardhan, Satanjeev Banerjee, Serguei Pakhomov, Bridget T. McInnes, Christopher G. Chute, Rada Mihalcea, Rebecca Bruce, Amruta Purandare, Genevieve B. Melton and Anagha Kulkarni. Their work appears in journals such as Journal of Biomedical Informatics, Language Resources and Evaluation, Computational Linguistics, ZooKeys and Physical Review Letters.
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.