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Aditya Kalyanpur is a Research Staff Member at IBM Watson. His research interests include knowledge representation & reasoning (ontologies, Semantic Web), natural language processing, machine learning and statistical data mining.
Aditya is a member of the DeepQA team that built the Watson question answering system, which won the Jeopardy! Man vs. Machine challenge in February 2011. He was involved in the development of several core algorithms in Watson related to question analysis, evidence gathering and scoring, knowledge based inference, and answer merging and ranking.
Previously, Aditya worked on the Scalable Highly Expressive Reasoner (SHER) project at IBM, a breakthrough semantic search technology that scales to very large and expressive logic-based knowledge bases. SHER has been successfully deployed in semantic search applications, especially in the medical domain (e.g., Anatomy Lens).
Prior to joining IBM, Aditya completed his PhD in Computer Science from the University of Maryland, College Park. His doctoral thesis was on debugging and explaining Semantic Web Ontologies.
Leveraging Community-built Knowledge for Type Coercion in Question Answering
as author at In-Use Track,