| WordNet:: Similarity-Measuring the Relatedness of Concepts. T Pedersen, S Patwardhan, J Michelizzi AAAI 4, 25-29, 2004 | 2289 | 2004 |
| OpinionFinder: A system for subjectivity analysis T Wilson, P Hoffmann, S Somasundaran, J Kessler, J Wiebe, Y Choi, ... Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, 34-35, 2005 | 761 | 2005 |
| Measures of semantic similarity and relatedness in the biomedical domain T Pedersen, SVS Pakhomov, S Patwardhan, CG Chute Journal of biomedical informatics 40 (3), 288-299, 2007 | 728 | 2007 |
| Using measures of semantic relatedness for word sense disambiguation S Patwardhan, S Banerjee, T Pedersen Computational Linguistics and Intelligent Text Processing: 4th International …, 2003 | 721 | 2003 |
| Using WordNet-based context vectors to estimate the semantic relatedness of concepts S Patwardhan, T Pedersen Proceedings of the Workshop on Making Sense of Sense: Bringing …, 2006 | 542 | 2006 |
| Identifying sources of opinions with conditional random fields and extraction patterns Y Choi, C Cardie, E Riloff, S Patwardhan Proceedings of human language technology conference and conference on …, 2005 | 511 | 2005 |
| Feature subsumption for opinion analysis E Riloff, S Patwardhan, J Wiebe Proceedings of the 2006 conference on empirical methods in natural language …, 2006 | 346 | 2006 |
| Maximizing semantic relatedness to perform word sense disambiguation T Pedersen, S Banerjee, S Patwardhan University of Minnesota supercomputing institute research report UMSI 25, 2005, 2005 | 246 | 2005 |
| Question analysis: How Watson reads a clue A Lally, JM Prager, MC McCord, BK Boguraev, S Patwardhan, J Fan, ... IBM Journal of research and development 56 (3.4), 2: 1-2: 14, 2012 | 228 | 2012 |
| Incorporating dictionary and corpus information into a context vector measure of semantic relatedness S Patwardhan University of Minnesota, Duluth, 2003 | 183 | 2003 |
| The role of context types and dimensionality in learning word embeddings O Melamud, D McClosky, S Patwardhan, M Bansal arXiv preprint arXiv:1601.00893, 2016 | 155 | 2016 |
| Effective information extraction with semantic affinity patterns and relevant regions S Patwardhan, E Riloff Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007 | 150 | 2007 |
| A unified model of phrasal and sentential evidence for information extraction S Patwardhan, E Riloff Proceedings of the 2009 conference on empirical methods in natural language …, 2009 | 149 | 2009 |
| Learning to predict readability using diverse linguistic features R Kate, X Luo, S Patwardhan, M Franz, R Florian, R Mooney, S Roukos, ... Proceedings of the 23rd International Conference on Computational …, 2010 | 142 | 2010 |
| Structured data and inference in DeepQA A Kalyanpur, BK Boguraev, S Patwardhan, JW Murdock, A Lally, C Welty, ... IBM Journal of Research and Development 56 (3.4), 10: 1-10: 14, 2012 | 124 | 2012 |
| An empirical analysis of word error rate and keyword error rate. Y Park, S Patwardhan, K Visweswariah, SC Gates Interspeech 2008, 2070-2073, 2008 | 110 | 2008 |
| WatsonPaths: scenario-based question answering and inference over unstructured information A Lally, S Bagchi, MA Barborak, DW Buchanan, J Chu-Carroll, ... AI magazine 38 (2), 59-76, 2017 | 98 | 2017 |
| Senserelate:: Targetword-A generalized framework for word sense disambiguation S Patwardhan, S Banerjee, T Pedersen ACL 2005, 73-76, 2005 | 93 | 2005 |
| Generating secondary questions in an introspective question answering system BK Boguraev, DW Buchanan, J Chu-Carroll, DA Ferrucci, AA Kalyanpur, ... US Patent 10,614,725, 2020 | 63 | 2020 |
| Collaborative creation of annotation training data SH Berajawala, AT Levas, SA Patwardhan, DD Taieb US Patent 9,860,308, 2018 | 61 | 2018 |
Ted PedersenProfessor of Computer Science, University of Minnesota DuluthVerified email at d.umn.edu
