A hybrid question answering schema using encapsulated semantics in lexical resources

Question Answering systems, as an extreme of the Information
Retrieval field, could save lots of time and effort in satisfying a specific
information need. In this regard, there are still many challenges to be resolved
by current state-of-the-art systems as they cope with free texts. We propose a
new hybrid question answering schema capable of answering questions with
respect to different semantically related syntactically mismatched situations
either in a structured or unstructured semantic format. We have exploited
FrameNet and WordNet lexical resources and implemented the prototype
system in a TREC-friendly fashion to obtain results comparable with
outstanding participant systems in TREC 2004.