Automatic generation of textual summaries from neonatal intensive care data

Authors:
François Portet;Ehud Reiter;Albert Gatt;Jim Hunter;Somayajulu Sripada;Yvonne Freer;Cindy Sykes
Affiliations:
Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, UK;Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, UK;Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, UK;Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, UK;Department of Computing Science, University of Aberdeen, Aberdeen AB24 3UE, UK;Simpson Centre for Reproductive Health, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK and School of Health in Social Science, University of Edinburgh, Edinburgh EH8 9AG, UK;Simpson Centre for Reproductive Health, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
Venue:
Artificial Intelligence
Year:
2009

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Abstract

With the increased incidence of depression-related disorders, many psychiatric websites have been developed to provide huge amounts of educational documents along with rich self-help information. Psychiatric document retrieval aims to assist individuals ...