Fine-Tuning Coreference Resolution for Different Styles of Clinical Narratives

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AQNRGFZH2" target="_blank" >RIV/00216208:11320/23:QNRGFZH2 - isvavai.cz</a>

Result on the web

<a href="https://pubmed.ncbi.nlm.nih.gov/38122841/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/38122841/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jbi.2023.104578" target="_blank" >10.1016/j.jbi.2023.104578</a>

Result language

angličtina

Original language name

Fine-Tuning Coreference Resolution for Different Styles of Clinical Narratives

Original language description

"Coreference resolution (CR) is a natural language processing (NLP) task that is concerned with finding all expressions within a single document that refer to the same entity. This makes it crucial in supporting downstream NLP tasks such as summarization, question answering and information extraction. Despite great progress in CR, our experiments have highlighted a substandard performance of the existing open-source CR tools in the clinical domain. We set out to explore some practical solutions to fine-tune their performance on clinical data."

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Journal of Biomedical Informatics"

ISSN

2590-177X

e-ISSN

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Volume of the periodical

149

Issue of the periodical within the volume

2024

Country of publishing house

US - UNITED STATES

Number of pages

35

Pages from-to

1-35

UT code for WoS article

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EID of the result in the Scopus database

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