DocumentCode
1923226
Title
Performance measurement for the quality of question answering approaches in natural language
Author
Mishra, Megha ; Mishra, V.K. ; Sharma, H.R.
fYear
2012
fDate
2-3 March 2012
Firstpage
95
Lastpage
98
Abstract
The research in this paper delivers concise information that contains answers to user questions. This paper reviews and compares three main QA approaches based on natural language processing, information retrieval and question templates by black-box approach using a classification scheme and scoring mechanism to assess and rank three example approaches.
Keywords
classification; natural language processing; question answering (information retrieval); user interfaces; black-box approach; classification scheme; information retrieval; natural language processing; performance measurement; question answering approach; question templates; scoring mechanism; user questions; Cognition; Databases; Information retrieval; NIST; Natural language processing; USA Councils; Black Box approach; Information Retrieval; Natural Language Processing; Template based Question answering;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Signal Processing (CISP), 2012 2nd National Conference on
Conference_Location
Guwahati, Assam
Print_ISBN
978-1-4577-0719-3
Type
conf
DOI
10.1109/NCCISP.2012.6189685
Filename
6189685
Link To Document