Allie: a database and a search service of abbreviations and long forms

Y Yamamoto, A Yamaguchi, H Bono, T Takagi - Database, 2011 - academic.oup.com
Many abbreviations are used in the literature especially in the life sciences, and polysemous
abbreviations appear frequently, making it difficult to read and understand scientific papers …

Abbreviation-expansion pair detection for glossary term extraction

H Hasso, K Großer, I Aymaz, H Geppert… - … Working Conference on …, 2022 - Springer
Context and motivation: Providing precise definitions of all project specific terms is a crucial
task in requirements engineering. In order to support the glossary building process, many …

Enhanced abbreviation–expansion pair detection for glossary term extraction

H Hasso, K Großer, I Aymaz, H Geppert… - Information and Software …, 2023 - Elsevier
Context: Providing precise definitions of all project specific terms is a crucial task in
requirements engineering. In order to support the glossary building process, many previous …

Automatic cluster labeling based on phylogram analysis

FNC De Araujo, VP Machado… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Clustering is one of the main pattern recognition techniques. This technique consists in
organizing the elements into groups (clusters) taking into consideration some metric that …

Leveraging small-bert and bio-bert for abbreviation identification in scientific text

P Miglani, P Vatsal, R Sharma - … on Applications of Natural Language to …, 2023 - Springer
Abbreviations are short forms of phrases that aid in the communication of long sentences in
texts and are an essential part of the writing process. Abbreviations save a lot of time and …

Language independent acquisition of abbreviations

MR Glass, MFM Chowdhury, AM Gliozzo - arXiv preprint arXiv:1709.08074, 2017 - arxiv.org
This paper addresses automatic extraction of abbreviations (encompassing acronyms and
initialisms) and corresponding long-form expansions from plain unstructured text. We create …

[PDF][PDF] A detection of informal abbreviations from free text medical notes using deep learning

L Heryawan, O Sugiyama, G Yamamoto, PH Khotimah… - EJBI, 2020 - researchgate.net
Background: To parse free text medical notes into structured data such as disease names,
drugs, procedures, and other important medical information first, it is necessary to detect …

Learning abbreviations from chinese and english terms by modeling non-local information

X Sun, N Okazaki, J Tsujii, H Wang - ACM Transactions on Asian …, 2013 - dl.acm.org
The present article describes a robust approach for abbreviating terms. First, in order to
incorporate non-local information into abbreviation generation tasks, we present both …

[PDF][PDF] A Computer-mediated Support for Writing Medical Notes with Coder's Perspective

H Lukman - 2020 - repository.kulib.kyoto-u.ac.jp
Electronic medical records (EMR) are the central point of data capture for patient care. EMR
can be used for both primary and secondary use. Primary use is for delivering health care to …

Topics in machine learning for biomedical literature analysis and text retrieval

R Islamaj Doğan, L Yeganova - BMC bioinformatics, 2011 - Springer
Life science researchers and health care professionals rely heavily on biomedical literature
databases such as MEDLINE to access information essential for research, health care …