Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records

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 automati...

Full description

Saved in:
Bibliographic Details
Published in:Computational and mathematical methods in medicine 2019-01, Vol.2019 (2019), p.1-14
Main Authors: Damaševičius, Robertas, Maskeliūnas, Rytis, Butleris, Rimantas, Butkienė, Rita, Žitkus, Voldemaras, Woźniak, Marcin
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 under-resourced 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. The experimental results show that coreference resolution is applicable to the development of NLP-powered online healthcare services in Lithuania.
ISSN:1748-670X
1748-6718
DOI:10.1155/2019/9079840