Treffer: Comparative analysis of WordNet replacement impact on data distribution.
Title:
Comparative analysis of WordNet replacement impact on data distribution.
Authors:
Publication Year:
2025
Subject Terms:
Cancer, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, semantically meaningful representations, received less attention, python code implementing, ensuring consistent representation, combined approach aimed, cell lung carcinoma, additionally leveraged wordnet, 8 %, suggesting, reduce embedding noise, improving embedding quality, higher embedding quality, biomedical synonym replacement, biomedical concept representations, +embeddings%22">xlink "> embeddings, word2vec algorithm applied, span multiple words, mean pairwise distance, single concept identifier, biomedical concept synonyms, embedding techniques, biomedical terms, biomedical synonyms
Document Type:
Bild
still image
Language:
unknown
DOI:
10.1371/journal.pone.0322498.g005
Availability:
Rights:
CC BY 4.0
Accession Number:
edsbas.DECB2301
Database:
BASE
Weitere Informationen
Figure (a) presents the Empirical Cumulative Distribution Functions (ECDFs), showcasing the cumulative frequency distribution before and after WordNet replacement, while Figure (b) illustrates the corresponding Empirical Q-Q Plot, detailing the quantile comparison between the original and the WordNet-replaced datasets. The close alignment of data points with the reference line in the Q-Q Plot and the overlap of the ECDF curves suggest minimal distributional deviation post-replacement.