Cargando…
Sequence tagging for biomedical extractive question answering
MOTIVATION: Current studies in extractive question answering (EQA) have modeled the single-span extraction setting, where a single answer span is a label to predict for a given question-passage pair. This setting is natural for general domain EQA as the majority of the questions in the general domai...
Autores principales: | Yoon, Wonjin, Jackson, Richard, Lagerberg, Aron, Kang, Jaewoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344839/ https://www.ncbi.nlm.nih.gov/pubmed/35713500 http://dx.doi.org/10.1093/bioinformatics/btac397 |
Ejemplares similares
-
Biomedical relation extraction with knowledge base–refined weak supervision
por: Yoon, Wonjin, et al.
Publicado: (2023) -
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
por: Lee, Jinhyuk, et al.
Publicado: (2020) -
Full-text chemical identification with improved generalizability and tagging consistency
por: Kim, Hyunjae, et al.
Publicado: (2022) -
Usability survey of biomedical question answering systems
por: Bauer, Michael A, et al.
Publicado: (2012) -
Biomedical question answering using semantic relations
por: Hristovski, Dimitar, et al.
Publicado: (2015)