Work

Matching Queries to Frequently Asked Questions: Search Functionality for the MRSA Web-Portal

Year: 2009

Type: conference-paper

Abstract: 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.

Source: University of Twente Research Information

Authors: Almer S. Tigelaar, Rieks op den Akker, Fenne Verhoeven

Institution: University of Twente

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1606078476

FWCI: 0.438

Cites: 23

Cited by: 2

Related to: 10