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Found 3 papers, 2 papers with code
Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation Models
Understanding of nerve-organ interactions is crucial to facilitate the development of effective bioelectronic treatments.
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining
However, due to their large model size and resulting increased computational need, practical application of models such as BERT is challenging making smaller models with comparable performance desirable for real word applications.
Antibody Watch: Text Mining Antibody Specificity from the Literature
Given an input article, the first task is to identify snippets about antibody specificity and classify if the snippets report that any antibody exhibits non-specificity, and thus is problematic.
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