Ontology highlight
ABSTRACT:
SUBMITTER: Kim H
PROVIDER: S-EPMC9518746 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature
Kim Hyunjae H Sung Mujeen M Yoon Wonjin W Park Sungjoon S Kang Jaewoo J
Database : the journal of biological databases and curation 20220901
Chemical identification involves finding chemical entities in text (i.e. named entity recognition) and assigning unique identifiers to the entities (i.e. named entity normalization). While current models are developed and evaluated based on article titles and abstracts, their effectiveness has not been thoroughly verified in full text. In this paper, we identify two limitations of models in tagging full-text articles: (1) low generalizability to unseen mentions and (2) tagging inconsistency. We ...[more]