Context aware restricted tourism domain question answering system
The advancement in the world of internet has made information retrieval an easy task. Search engines provide users the information they need but not in specific form, instead floods the user with lots of documents/web pages that contain the information required by user. User waste their time to scan all documents in order to retrieve the needed information. Question Answering System reduces this drawback by automating the whole process. In this paper a tourism domain Question Answering System is proposed that contains the information about the tourist places of five different cities of Rajasthan. The system follows the principles of information retrieval and natural language processing. The proposed system is experimented with the set of 300 questions and it is observed that the system showed 70% precision and 80% accuracy rate. Lastly, proposed QAS (Question Answering System) is compared with other three existing Question Answering systems: AnswerBus [29] START [4] and NaLURI [28]
2016 2nd International Conference on Next Generation Computing Technologies (NGCT)