Siddharth Patwardhan

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Ted PedersenProfessor of Computer Science, University of Minnesota DuluthDirección de correo verificada de d.umn.edu
Ellen RiloffProfessor, School of Computing, University of UtahDirección de correo verificada de cs.utah.edu
Jennifer Chu-CarrollResearch Scientist, Elemental CognitionDirección de correo verificada de elementalcognition.com
Aditya KalyanpurAI Research Scientist, Elemental CognitionDirección de correo verificada de elementalcognition.com
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceDirección de correo verificada de cs.washington.edu
Claire CardieProfessor of Computer Science, Cornell UniversityDirección de correo verificada de cs.cornell.edu
Janyce WiebeProfessor Computer Science and Intelligent Systems, University of PittsburghDirección de correo verificada de cs.pitt.edu
Chris WeltyGoogle ResearchDirección de correo verificada de google.com
Serguei PakhomovUniversity of MinnesotaDirección de correo verificada de umn.edu
James FanGoogleDirección de correo verificada de google.com
Theresa A. WilsonVisiting Assistant Professor of Computer Science, Hanover CollegeDirección de correo verificada de hanover.edu
Swapna SomasundaranETSDirección de correo verificada de ets.org
Jason KesslerIndiana UniversityDirección de correo verificada de indiana.edu
Christopher G. ChuteBloomberg Distinguished Professor of Health Informatics, Johns HopkinsDirección de correo verificada de jhu.edu
David McCloskyGoogleDirección de correo verificada de cs.stanford.edu
J. William MurdockIBMDirección de correo verificada de us.ibm.com
Paul FodorStony Brook UniversityDirección de correo verificada de cs.stonybrook.edu
Alessandro MoschittiPrincipal Scientist at Amazon AlexaDirección de correo verificada de disi.unitn.it
Sugato BagchiIBM ResearchDirección de correo verificada de us.ibm.com
Preethi RaghavanResearch Staff Member, IBM Research Cambridge MADirección de correo verificada de osu.edu

Siddharth Patwardhan

Apple

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Natural Language Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
WordNet:: Similarity-Measuring the Relatedness of Concepts. T Pedersen, S Patwardhan, J Michelizzi AAAI 4, 25-29, 2004	1940	2004
Using measures of semantic relatedness for word sense disambiguation S Patwardhan, S Banerjee, T Pedersen International Conference on Intelligent Text Processing and Computational …, 2003	649	2003
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	614	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	597	2007
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	502	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	447	2005
Feature subsumption for opinion analysis E Riloff, S Patwardhan, J Wiebe Proceedings of the 2006 conference on empirical methods in natural language …, 2006	310	2006
Maximizing semantic relatedness to perform word sense disambiguation T Pedersen, S Banerjee, S Patwardhan Research Report UMSI 2005/25, University of Minnesota Supercomputing Institute, 2005	210	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	195	2012
Incorporating dictionary and corpus information into a context vector measure of semantic relatedness S Patwardhan University of Minnesota, Duluth, 2003	160	2003
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	138	2007
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	105	2012
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	103	2016
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	99	2010
Senserelate:: Targetword-A generalized framework for word sense disambiguation S Patwardhan, S Banerjee, T Pedersen ACL 2005, 73-76, 2005	93	2005
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	92	2009
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	66	2017
Umnd1: Unsupervised word sense disambiguation using contextual semantic relatedness S Patwardhan, S Banerjee, T Pedersen Proceedings of the fourth international workshop on semantic evaluations …, 2007	50	2007
An empirical analysis of word error rate and keyword error rate Y Park, S Patwardhan, K Visweswariah, SC Gates Ninth Annual Conference of the International Speech Communication Association, 2008	45	2008
Learning domain-specific information extraction patterns from the web S Patwardhan, E Riloff Proceedings of the Workshop on Information Extraction beyond the Document, 66-73, 2006	44	2006

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