Author/Authors :
Zitkus, Voldemaras Faculty of Informatics - Kaunas University of Technology - Kaunas, Lithuania , Butkiene, Rita Faculty of Informatics - Kaunas University of Technology - Kaunas, Lithuania , Butleris, Rimantas Faculty of Informatics - Kaunas University of Technology - Kaunas, Lithuania , Maskeliunas, Rytis Faculty of Informatics - Kaunas University of Technology - Kaunas, Lithuania , Damasevicius, Robertas Faculty of Informatics - Kaunas University of Technology - Kaunas, Lithuania , Wozniak, Marcin Faculty of Informatics - Kaunas University of Technology - Kaunas, Lithuania
Abstract :
Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation,
semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic
preprocessing and rich language resources for automatically identifying and resolving such expressions. Many rarer and underresourced languages (such as Lithuanian) lack the required language resources and tools. We present a method for coreference
resolution in Lithuanian language and its application for processing e-health records from a hospital reception. Our novelty is the
ability to process coreferences with minimal linguistic resources, which is important in linguistic applications for rare and
endangered languages. .e experimental results show that coreference resolution is applicable to the development of NLPpowered online healthcare services in Lithuania.
Keywords :
Records , Lithuanian , NLP , NER
