Incorporating user models in question answering to improve readability

Authors:
Silvia Quarteroni;Suresh Manandhar
Affiliations:
University of York, York, United Kingdom;University of York, York, United Kingdom
Venue:
KRAQ '06 Proceedings of the Workshop KRAQ'06 on Knowledge and Reasoning for Language Processing
Year:
2006

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Abstract

Most question answering and information retrieval systems are insensitive to different users' needs and preferences, as well as their reading level. In (Quarteroni and Manandhar, 2006), we introduce a hybrid QA-IR system based on a a user model. In this paper we focus on how the system filters and re-ranks the search engine results for a query according to their reading difficulty, providing user-tailored answers.