Matching Queries to Frequently Asked Questions: Search Functionality for the MRSA Web-Portal
Almer S. Tigelaar, Rieks op den Akker, Fenne Verhoeven · University of Twente Research Information · 2009
As part of the long-term EUREGIO MRSA-net project a system was developed which enables health care workers and the general public to quickly find answers to their questions regarding the MRSA pathogen. This paper focuses on how these questions can be answered using Information Retrieval (IR) and Natural Language Processing (NLP) techniques on a Frequently-Asked-Questions-style (FAQ) database.