Wikipedia and Question Answering
Wikipedia and Question AnsweringDr George Ferizis Tuesday 13th February 2007 at 11am
AbstractInformation retrieval as observed by the wider community typically involves a user entering a set of keywords and receiving a set of documents that address their information needs. Question answering does more than this. It invites the user to enter a natural language question as a query. Using the extra information in the natural language query, a question answering system returns only information specific to the user's query. Wikipedia is an online encyclopaedia made up of user-contributed content. Wikipedia is an interesting corpus for research as it contains a large amount of open-domain information with a large amount of user-contributed classification information and a large amount of descriptive metadata in the form of multiple titles per document. In this talk we present a system that performs question answering using data in Wikipedia. We also discuss properties of Wikipedia that make question answering using the corpus interesting. Short resumeGeorge Ferizis received his Bachelors degree in Computer Engineering from the University of New South Wales in 2001. He then became a PhD candidate at The University of New South Wales, obtaining his degree in 2006. He has been working in the Information Engineering laboratory of the CSIRO ICT Centre since May 2005. |
