BiomedicalDatasets

material ID: biomedicaldatasets

Related Papers

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractDocument-level relation extraction is a complex human process that requires logical inference to extract relationships between named entities in text. Existing approaches use graph-based neural models with words as nodes …...

9017

Relation Extraction using Explicit Context Conditioning

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractRelation extraction (RE) aims to label relations between groups of marked entities in raw text. Most current RE models learn context-aware representations of the target entities that are then used …...

22138

Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractDomain adaptation is an effective solution to data scarcity in low-resource scenarios. However, when applied to token-level tasks such as bioNER, domain adaptation methods often suffer from the challenging linguistic …...

31052