Automatic Acronym Recognition Dana Dann ells Computational Linguistics Department of Linguistics and Department of Swedish Language oteborg University oteborg Sweden clddoytcling
guse Abstract This paper deals with the problem of recognizing and extracting acronym de64257nition pairs in Swedish medical texts This project applies a rulebased method to solve the acronym recognition task and compares and evaluates the results of
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