Adaptive generation of multilingual questions and answers from web content

(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.This article describes the adaptive generation of questions and answers from web content to assist the user when searching for information. The approach proposed integrates user models, domain-restricted knowledge representation, natural language and wrappers techniques. This proposal is based on the representation of the main concepts involved in a specific scenario as a set of attributes, and the user models as the subset of those conceptual attributes relevant for each user. The approach described has been applied to generate multilingual personalized questions and answers from web sites in two different domains: university courses and dissemination on nutrition