Intelligent system design using artificial neural networks for automatic semantic units extraction in medical literature

Authors:
Clara Pérez
Affiliations:
Department of Electrical Engineering and Computer Science ETSII - Spanish Distance Learning University (UNED) Ciudad Universitaria S/N, 28080 Madrid (Spain)
Venue:
Second international workshop on Intelligent systems design and application
Year:
2002

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Abstract

This paper presents a neural network-based system to extract semantic units in text medical documents. Semantic units contribute to a better indexing and therefore characterization of the dataset making easy the access to the knowledge contained in a medical database. Our aim is to extract semantic units defined by sets of words, since there is usually an element of meaning added to the combination. These items, also known as multiword expressions or complex concepts, consist of two or more words that correspond to some conventional way of saying things [1]. When doctors search information about a knowledge item, the subject is usually described by a set of words; this is what we call semantic unit.