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Extracting Non-Taxonomic and Ternary Relations from Patient-Generated Texts for Semantic Interoperability

2026-03-18

Abstract excerpt

<title>Abstract</title> <p>Patient-generated texts usually contain useful information, but lack rigorous internal cell structure making them unfit for structured databases. Current research work has focused on identifying hierarchical/taxonomic relations, consequently ignoring non-hierarchical and ternary relations, which are equally crucial for comprehensive semantic understanding. This study addresses this thro...

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Literature Corpus work
60c20a1c-a0b1-5e23-bba1-6a0fb68728fd
DOI
10.21203/rs.3.rs-9087634/v1
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Extracting Non-Taxonomic and Ternary Relations from Patient-Generated Texts for Semantic InteroperabilityDOI 10.21203/rs.3.rs-9087634/v1
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