Ontological-semantic text analysis and the question answering system using data from ontology

2016 ◽  
Author(s):  
V. A. Kuznetsov ◽  
V. A. Mochalov ◽  
A. V. Mochalova
Keyword(s):  
Text Analysis ◽  
Question Answering ◽  
Question Answering System ◽  
Using Data

Complex answers: a case study using a WWW question answering system

2001 ◽  
Vol 7 (4) ◽  
pp. 301-323 ◽  
Author(s):  
S. BUCHHOLZ ◽  
W. DAELEMANS
Keyword(s):  
Question Answering ◽  
Question Answering System ◽  
Question Answering Systems ◽  
Using Data

We investigate the problem of complex answers in question answering. Complex answers consist of several simple answers. We describe the online question answering system SHAPAQA, and using data from this system we show that the problem of complex answers is quite common. We define nine types of complex questions, and suggest two approaches, based on answer frequencies, that allow question answering systems to tackle the problem.

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