Paper: Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy!

ACL ID D11-1066
Title Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy!
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

The last decade has seen many interesting ap- plications of Question Answering (QA) tech- nology. The Jeopardy! quiz show is certainly one of the most fascinating, from the view- points of both its broad domain and the com- plexity of its language. In this paper, we study kernel methods applied to syntactic/semantic structures for accurate classification of Jeop- ardy! definition questions. Our extensive em- pirical analysis shows that our classification models largely improve on classifiers based on word-language models. Such classifiers are also used in the state-of-the-art QA pipeline constituting Watson, the IBM Jeopardy! sys- tem. Our experiments measuring their impact on Watson show enhancements in QA accu- racy and a consequent increase in the amount of money earned in game-based ev...