Inferring on numerical extracted answers from question answering systems
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Date
2008-06
Authors
Nadi, Farhad
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Abstract
Every day question answering systems and their undeniable usefulness become more
and more obvious. There are several difficulties related to these systems that
researchers all around the world are trying to solve or sometimes improve. One of
these difficulties is related to the situations when the question answering systems are
not able to extract a concise and salient answer to a given question. A long
descriptive answer instead of a concise one can affect the efficiency of the system.
One way to improve it could be by providing shorter answers from the existed
answers that convey the same meaning. Sometimes applying inference on the
retrieved answers for a question yields to a correct and exact answer. This research
focuses on producing a concise answer from the set of retrieved answers given by
any question answering system. We particularly focus on the situation when the
correct answer is a numerical value. The proposed method processes the retrieved
text through several modules. The proposed algorithm constructs a type of data
structures called frames for numerical values that are within the answer set. Each
frame that holds information about the context will pass a unification process right
after a filtering process. A sentence will be produced from the frames as the concise
answer to the question. The evaluation of the proposed method shows that in 60% of
the cases the results are perfect.
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Keywords
Numerical extracted , Answering systems