Lematización para palabras médicas complejas: implementación de un algoritmo en LISP

Abstract

The automated retrieval of files depends critically on the ability to generate precise signs concepts. Stemming is a technique very useful but medical terms are very complex terms which need special attention. Our main was to develop a modular algorithm for complex medical terms in order to follow a new space of research on Information retrieval. The algorithm was developed using LISP, a programming language, and exhaustive controlled list of rules. As a result, we found good precision with less recall when we asked for concepts saving signs concepts for each medical term.

Keywords

• LISP
• Stemming
• medical terms
• information retrieval