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A Question Classification in Closed Domain Question-Answer Systems
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 38 |
| Year of Publication: 2021 |
| Authors: J�ferson N. Soares, Haniel G. Cavalcante, Jos� E.B. Maia |
10.5120/ijais2021451913
|
J�ferson N. Soares, Haniel G. Cavalcante, Jos� E.B. Maia . A Question Classification in Closed Domain Question-Answer Systems. International Journal of Applied Information Systems. 12, 38 ( July 2021), 1-5. DOI=10.5120/ijais2021451913
Abstract
A Question-Answer System (QAS) is a Natural Language Processing (NLP) application whose purpose is to answer questions from users by consulting one or more available knowledge bases. Classifying the question posed by a user in a class of a predetermined set has risks and advantages. On the one hand, the correct classification reduces the scope of the search for the answer, generally resulting in more correct answers and greater processing efficiency of the QAS; on the other hand, an error in the classification reduces the chances of the system recovering from this error in the later stages of processing, thus resulting, almost always, in unsatisfactory responses. This work develops and evaluates a question classification scheme for Closed Domain QAS. The experiments showed that the approaches described for defining class and question classification can be used successfully in QAS based on closed collections of documents.
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