Context-aware multi-token concept recognition of biological entities.

ABSTRACT:

Background

Concept recognition is a term that corresponds to the two sequential steps of named entity recognition and named entity normalization, and plays an essential role in the field of bioinformatics. However, the conventional dictionary-based methods did not sufficiently addressed the variation of the concepts in actual use in literature, resulting in the particularly degraded performances in recognition of multi-token concepts.

Results

In this paper, we propose a concept recognition method of multi-token biological entities using neural models combined with literature contexts. The key aspect of our method is utilizing the contextual information from the biological knowledge-bases for concept normalization, which is followed by named entity recognition procedure. The

SUBMITTER: Kim K 

PROVIDER: S-EPMC8529713 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature