The temporal dimension emerges as one of the essential concepts in the field of medicine, providing a basis for the proper interpretation and understanding of medically relevant information, often recorded only in unstructured texts. Automatic processing of temporal expressions involves their identification and formalization in a language understandable to computers. This paper aims to apply the existing system for automatic processing of temporal expressions in Serbian natural language texts to medical narrative texts, to evaluate the system’s efficiency in recognition and normalization of temporal expressions and to determine the degree of necessary adaptation according to the characteristics and requirements of the medical domain.
Keywords:
Natural language processing / temporal reasoning / TIMEX / TimeML / clinical records
Source:
Infotheca - Journal for Digital Humanities, 2019, 19, 2, 26-60
Publisher:
Faculty of Philology, University of Belgrade
University Library „Svetozar Marković“
Association of Libraries of the Universities of Serbia
TY - JOUR
AU - Jaćimović, Jelena
PY - 2019
UR - https://smile.stomf.bg.ac.rs/handle/123456789/2530
AB - The temporal dimension emerges as one of the essential concepts in the field of medicine, providing a basis for the proper interpretation and understanding of medically relevant information, often recorded only in unstructured texts. Automatic processing of temporal expressions involves their identification and formalization in a language understandable to computers. This paper aims to apply the existing system for automatic processing of temporal expressions in Serbian natural language texts to medical narrative texts, to evaluate the system’s efficiency in recognition and normalization of temporal expressions and to determine the degree of necessary adaptation according to the characteristics and requirements of the medical domain.
PB - Faculty of Philology, University of Belgrade
PB - University Library „Svetozar Marković“
PB - Association of Libraries of the Universities of Serbia
T2 - Infotheca - Journal for Digital Humanities
T1 - Recognition and normalization of temporal expressions in Serbian medical narratives
VL - 19
IS - 2
SP - 26
EP - 60
DO - 10.18485/infotheca.2019.19.2.2
ER -
@article{
author = "Jaćimović, Jelena",
year = "2019",
abstract = "The temporal dimension emerges as one of the essential concepts in the field of medicine, providing a basis for the proper interpretation and understanding of medically relevant information, often recorded only in unstructured texts. Automatic processing of temporal expressions involves their identification and formalization in a language understandable to computers. This paper aims to apply the existing system for automatic processing of temporal expressions in Serbian natural language texts to medical narrative texts, to evaluate the system’s efficiency in recognition and normalization of temporal expressions and to determine the degree of necessary adaptation according to the characteristics and requirements of the medical domain.",
publisher = "Faculty of Philology, University of Belgrade, University Library „Svetozar Marković“, Association of Libraries of the Universities of Serbia",
journal = "Infotheca - Journal for Digital Humanities",
title = "Recognition and normalization of temporal expressions in Serbian medical narratives",
volume = "19",
number = "2",
pages = "26-60",
doi = "10.18485/infotheca.2019.19.2.2"
}
Jaćimović, J.. (2019). Recognition and normalization of temporal expressions in Serbian medical narratives. in Infotheca - Journal for Digital Humanities
Faculty of Philology, University of Belgrade., 19(2), 26-60.
https://doi.org/10.18485/infotheca.2019.19.2.2
Jaćimović J. Recognition and normalization of temporal expressions in Serbian medical narratives. in Infotheca - Journal for Digital Humanities. 2019;19(2):26-60.
doi:10.18485/infotheca.2019.19.2.2 .
Jaćimović, Jelena, "Recognition and normalization of temporal expressions in Serbian medical narratives" in Infotheca - Journal for Digital Humanities, 19, no. 2 (2019):26-60,
https://doi.org/10.18485/infotheca.2019.19.2.2 . .
