Using Measures of Semantic Relatedness for Word Sense Disambiguation. - Siddharth Patwardhan; Satanjeev Banerjee; Ted Pedersen (CICLing, 2003)

WordNet: : Similarity - Measuring the Relatedness of Concepts. - Ted Pedersen; Siddharth Patwardhan; Jason Michelizzi (AAAI, 2004)

Generative models for semantic role labeling. - Cynthia Thompson; Siddharth Patwardhan; Carolin Arnold (SENSEVAL@ACL, 2004)

SenseRelate: : TargetWord-A Generalized Framework for Word Sense Disambiguation. - Siddharth Patwardhan; Satanjeev Banerjee; Ted Pedersen (AAAI, 2005)

Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns. - Yejin Choi 001; Claire Cardie; Ellen Riloff; Siddharth Patwardhan (HLT/EMNLP, 2005)

OpinionFinder: A System for Subjectivity Analysis. - Theresa Wilson; Paul Hoffmann; Swapna Somasundaran; Jason Kessler; Janyce Wiebe; Yejin Choi 001; Claire Cardie; Ellen Riloff; Siddharth Patwardhan (HLT/EMNLP, 2005)

Feature Subsumption for Opinion Analysis. - Ellen Riloff; Siddharth Patwardhan; Janyce Wiebe (EMNLP, 2006)

Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions. - Siddharth Patwardhan; Ellen Riloff (EMNLP-CoNLL, 2007)

UMND1: Unsupervised Word Sense Disambiguation Using Contextual Semantic Relatedness. - Siddharth Patwardhan; Satanjeev Banerjee; Ted Pedersen (SemEval@ACL, 2007)

Measures of semantic similarity and relatedness in the biomedical domain. - Ted Pedersen; Serguei V. S. Pakhomov; Siddharth Patwardhan; Christopher G. Chute (J. Biomed. Informatics, 2007)

Combining Global Relevance Information with Local Contextual Clues for Event-Oriented Information Extraction. - Siddharth Patwardhan (AAAI, 2008)

An empirical analysis of word error rate and keyword error rate. - Youngja Park; Siddharth Patwardhan; Karthik Visweswariah; Stephen C. Gates (INTERSPEECH, 2008)

A Unified Model of Phrasal and Sentential Evidence for Information Extraction. - Siddharth Patwardhan; Ellen Riloff (EMNLP, 2009)

Acquiring paraphrases from text corpora. - Rahul Bhagat; Eduard H. Hovy; Siddharth Patwardhan (K-CAP, 2009)

Learning to Predict Readability using Diverse Linguistic Features. - Rohit J. Kate; Xiaoqiang Luo; Siddharth Patwardhan; Martin Franz; Radu Florian; Raymond J. Mooney; Salim Roukos; Chris Welty (COLING, 2010)

Widening the Field of View of Information Extraction Through Sentential Event Recognition. - Siddharth Patwardhan (2010)

Fact-based question decomposition for candidate answer re-ranking. - Aditya Kalyanpur; Siddharth Patwardhan; Branimir Boguraev; Adam Lally; Jennifer Chu-Carroll (CIKM, 2011)

Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy! - Alessandro Moschitti; Jennifer Chu-Carroll; Siddharth Patwardhan; James Fan; Giuseppe Riccardi (EMNLP, 2011)

Labeling by landscaping: classifying tokens in context by pruning and decorating trees. - Siddharth Patwardhan; Branimir Boguraev; Apoorv Agarwal; Alessandro Moschitti; Jennifer Chu-Carroll (CIKM, 2012)

When Did that Happen? - Linking Events and Relations to Timestamps. - Dirk Hovy; James Fan; Alfio Massimiliano Gliozzo; Siddharth Patwardhan; Christopher A. Welty (EACL, 2012)

Structured data and inference in DeepQA. - Aditya Kalyanpur; Branimir Boguraev; Siddharth Patwardhan; J. William Murdock; Adam Lally; Chris Welty; John M. Prager; Bonaventura Coppola; Achille Fokoue-Nkoutche; Lei Zhang 007; Yue Pan; Zhaoming Qiu (IBM J. Res. Dev., 2012)

Fact-based question decomposition in DeepQA. - Aditya Kalyanpur; Siddharth Patwardhan; Branimir Boguraev; Adam Lally; Jennifer Chu-Carroll (IBM J. Res. Dev., 2012)

Question analysis: How Watson reads a clue. - Adam Lally; John M. Prager; Michael C. McCord; Branimir Boguraev; Siddharth Patwardhan; James Fan; Paul Fodor; Jennifer Chu-Carroll (IBM J. Res. Dev., 2012)

Long-Distance Time-Event Relation Extraction. - Alessandro Moschitti; Siddharth Patwardhan; Chris Welty (IJCNLP, 2013)

Parallel and nested decomposition for factoid questions. - Branimir Boguraev; Siddharth Patwardhan; Aditya Kalyanpur; Jennifer Chu-Carroll; Adam Lally (Nat. Lang. Eng., 2014)

Efficient Controlled Quantum Secure Direct Communication Protocols. - Siddharth Patwardhan; Subhayan Roy Moulick; Prasanta K. Panigrahi (CoRR, 2015)

Addressing Limited Data for Textual Entailment Across Domains. - Chaitanya P. Shivade; Preethi Raghavan; Siddharth Patwardhan (ACL (1), 2016)

Question Answering on Electronic Medical Records. - Preethi Raghavan; Siddharth Patwardhan (CRI, 2016)

The Role of Context Types and Dimensionality in Learning Word Embeddings. - Oren Melamud; David McClosky; Siddharth Patwardhan; Mohit Bansal (HLT-NAACL, 2016)

WatsonPaths: Scenario-Based Question Answering and Inference over Unstructured Information. - Adam Lally; Sugato Bagchi; Michael Barborak; David W. Buchanan; Jennifer Chu-Carroll; David A. Ferrucci; Michael R. Glass; Aditya Kalyanpur; Erik T. Mueller; J. William Murdock; Siddharth Patwardhan; John M. Prager (AI Mag., 2017)

Annotating Electronic Medical Records for Question Answering. - Preethi Raghavan; Siddharth Patwardhan; Jennifer J. Liang; Murthy V. Devarakonda (CoRR, 2018)

Quantifying Dismantlement in Disconnected Networks. - Siddharth Patwardhan (CoRR, 2019)

Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer. - Benjamin Muller; Deepanshu Gupta; Jean-Philippe Fauconnier; Siddharth Patwardhan; David Vandyke; Sachin Agarwal 007 (TL4NLP, 2022)

Model Stability with Continuous Data Updates. - Huiting Liu; Avinesh P. V. S.; Siddharth Patwardhan; Peter Grasch; Sachin Agarwal 007 (CoRR, 2022)

Can Open Domain Question Answering Systems Answer Visual Knowledge Questions? - Jiawen Zhang; Abhijit Mishra; Avinesh P. V. S.; Siddharth Patwardhan; Sachin Agarwal 007 (CoRR, 2022)

Influence Maximization: Divide and Conquer. - Siddharth Patwardhan; Filippo Radicchi; Santo Fortunato (CoRR, 2022)

Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks. - Siddharth Patwardhan; Utso Majumder; Aditya Das Sarma; Mayukha Pal; Divyanshi Dwivedi; Prasanta K. Panigrahi (CoRR, 2022)

EELBERT: Tiny Models through Dynamic Embeddings. - Gabrielle Cohn; Rishika Agarwal; Deepanshu Gupta; Siddharth Patwardhan (EMNLP (Industry Track), 2023)

Epidemic spreading in group-structured populations. - Siddharth Patwardhan; Varun K. Rao; Santo Fortunato; Filippo Radicchi (CoRR, 2023)