Title :
Automated question answering: review of the main approaches
Author :
Andrenucci, Andrea ; Sneiders, Eriks
Author_Institution :
Stockholm Univ., Sweden
Abstract :
Automated question-answering aims at delivering concise information that contains answers to user questions. This paper reviews and compares three main question-answering approaches based on natural language processing, information retrieval and question templates, eliciting their differences and the context of application that best suits each of them.
Keywords :
information retrieval; natural languages; automated question answering system; information retrieval; natural language processing; question templates; Data mining; Information retrieval; Logic; Natural language processing; Natural languages; Problem-solving; Search engines; Spatial databases; Text recognition; World Wide Web;
Conference_Titel :
Information Technology and Applications, 2005. ICITA 2005. Third International Conference on
Print_ISBN :
0-7695-2316-1
DOI :
10.1109/ICITA.2005.78
