Abstract
The usage of question answering systems is increasing daily. People constantly use question answering systems in order to find the right answer for different kinds of information, but the abundance of available data has made the process of obtaining relevant information challenging in terms of processing and analyzing it. Many questions classification techniques have been proposed with the aim of helping in understanding the actual intent of the user’s question. In this research, we have categorized different question types through introducing question type syntactical patterns for detecting question intention. In addition, a k-nearest neighbor based approach has been developed for question classification. Experiments show that our approach has a good level of accuracy in identifying different question types.
Original language | English |
---|---|
Title of host publication | Artificial Intelligence Applications and Innovations |
Subtitle of host publication | AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018, Proceedings |
Editors | Lazaros Iliadis, Ilias Maglogiannis, Vassilis Plagianakos |
Publisher | Springer |
Pages | 101-111 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-319-92016-0 |
ISBN (Print) | 978-3-319-92015-3 |
DOIs | |
Publication status | Published - May 2018 |
Event | 14th International Conference on Artificial Intelligence Applications and Innovations - Rhodes, Greece Duration: 25 May 2018 → 27 May 2018 http://easyconferences.eu/aiai2018/ |
Publication series
Name | IFIP Advances in Information and Communication Technology |
---|---|
Publisher | Springer |
Volume | 520 |
ISSN (Print) | 1868-4238 |
ISSN (Electronic) | 1868-422X |
Conference
Conference | 14th International Conference on Artificial Intelligence Applications and Innovations |
---|---|
Abbreviated title | AIAI 2018 |
Country/Territory | Greece |
City | Rhodes |
Period | 25/05/18 → 27/05/18 |
Internet address |