We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
Question answering systems increasingly need to deal with complex information needs that require more than simple factoid answers. The evaluation of such systems is usually carrie...
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex ...
This paper proposes an algorithm for causality inference based on a set of lexical knowledge bases that contain information about such items as event role, is-a hierarchy, relevan...
Key-Sun Choi, Jae-Ho Kim, Masaru Miyazaki, Jun Got...
This paper discusses our system’s results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information ret...