Treffer: Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’), followed by a word frequency count (‘Counter’).

Title:
Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’), followed by a word frequency count (‘Counter’).
Authors:
Enock Niyonkuru, Mauricio Soto Gomez, Elena Casarighi, Stephan Antogiovanni, Hannah Blau, Justin T. Reese, Giorgio Valentini, Peter N. Robinson
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
Relation:
https://figshare.com/articles/figure/Illustration_of_the_text_transformation_process_before_and_after_synonym_replacement_The_process_begins_with_a_sample_initial_text_segment_Sample_text_before_synonym_replacement_followed_by_a_word_frequency_count_Counter_/28933836
DOI:
10.1371/journal.pone.0322498.g004
Availability:
https://doi.org/10.1371/journal.pone.0322498.g004
https://figshare.com/articles/figure/Illustration_of_the_text_transformation_process_before_and_after_synonym_replacement_The_process_begins_with_a_sample_initial_text_segment_Sample_text_before_synonym_replacement_followed_by_a_word_frequency_count_Counter_/28933836
Rights:
CC BY 4.0
Accession Number:
edsbas.4E743E90
Database:
BASE

Weitere Informationen

This count generates a ‘Vocabulary List by Frequency’, which informs the final modified text (‘Sample text after synonym replacement’). The procedure exemplifies the algorithm’s systematic approach to replacing non-biomedical tokens.