Current and Future Trends in Question Answering – Sanda Harabagiu (University of Texas at Dallas)

November 14, 2006 all-day

Work on Question Answering (QA) has argued that the relation between a question and its answer(s) can be cast in terms of logical entailment. In this talk a QA framework that takes advantage of question semantics and a computational framework for text entailment is presented. To be able to process complex questions in this framework, question decompositions need to be generated. Complex questions are decomposed by a random walk on a bipartite graph of relations established between concepts related to the question and sub-questions derived from topic-relevant passages. Decomposed questions and textual entailment significantly enhance the accuracy and comprehensiveness of extracted answers.

Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2680

Center for Language and Speech Processing