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CONFERENCE[C57]
Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations
Vashisth, G., Mikhailov, M., Voigt-Antons, J.-N. & Roller, R.
Paper presented at the 18th ACL Workshop on Biomedical Natural Language Processing (BioNLP 2019), Florence, Italy
Abstract
We train time-sliced word embeddings on biomedical corpora to track how concepts evolve across years. By aligning vector spaces, we quantify semantic drift and highlight case studies where terminology and associations shift (e.g., emerging therapies, reclassified diseases). The approach supports literature monitoring and hypothesis generation in fast-moving domains.
Record
- Reference
[C57]in the Publikationsverzeichnis - TypeConference paper
- Year2019
- Research lineDigital Health & Learning
- Identifier
2019-08-01-C57
BibTeX
@inproceedings{voigtantons2019c57,
author = {Vashisth, G. and Mikhailov, M. and Voigt-Antons, J.-N. and Roller, R.},
title = {Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations},
year = {2019},
booktitle = {Paper presented at the 18th ACL Workshop on Biomedical Natural Language Processing (BioNLP 2019), Florence, Italy},
doi = {10.18653/v1/W19-5037},
}