Back to search

Article

Deep learning architectures for recognizing ontology concepts from scientific literature

2022-05-26

Abstract excerpt

<h4>Background: </h4> Annotating scientific literature with ontology concepts is a critical task in biology and several other domains for knowledge discovery. Ontology based annotations can power large-scale comparative analyses in a wide range of applications ranging from evolutionary phenotypes to rare human diseases to the study of protein functions. Computational methods that can tag scientific text with ontol...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9eb9cbbd-44bd-5712-9413-e1862932957b
DOI
10.21203/rs.3.rs-1678383/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning architectures for recognizing ontology concepts from scientific literatureDOI 10.21203/rs.3.rs-1678383/v1
Select a neighboring publication to make it the new centre.