Abstract
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.
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Ofoghi, B., Yearwood, J., Ghosh, R. (2006). A Hybrid Question Answering Schema Using Encapsulated Semantics in Lexical Resources. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_160
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DOI: https://doi.org/10.1007/11941439_160
Publisher Name: Springer, Berlin, Heidelberg
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