Authors: Saikishor Jangiti; G. Swathi; Logesh Ravi; V. Vijayakumar; V. Subramaniyaswamy
Addresses: School of Computing, SASTRA Deemed University, Thanjavur, India ' School of Computing, SASTRA Deemed University, Thanjavur, India ' School of Computing, SASTRA Deemed University, Thanjavur, India ' School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India ' School of Computing, SASTRA Deemed University, Thanjavur, India
Abstract: Crowd-based question answering forums and cloud-based community question answering platforms provide us with the dais to post questions and answers online. This helps the users to get desired answers from expert users. It is a challenge for a person with mobility needs to go out and explore. The 'wheelchair accessible' information provided by Google Maps is useful to explore before going out. Local guides share this knowledge on Google Maps by answering quick questionnaire. Automated question generation is a key challenge that we face with regard to natural languages in the context of users visited locations, already reviewed places, likes, interests and user experience. In this paper, we have implemented an automatic question generation system that comprises of part-of-speech (POS) tagger, text-to-question generation task using syntactic analysis and a named entity extraction. The proposed system is tested with human effort and is generating valid questionnaire.
Keywords: community question answering; review generation; authenticity of reviews; tagging; question extraction.
International Journal of Web Based Communities, 2019 Vol.15 No.3, pp.212 - 224
Received: 01 Mar 2019
Accepted: 04 Apr 2019
Published online: 15 Aug 2019 *