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Text · dataset · 2022

GENIA Relation Corpus

Listed in Hugging Face Datasets

The extraction of various relations stated to hold between biomolecular entities is one of the most frequently addressed information extraction tasks in domain studies.

Description

Typical relation extraction targets involve protein-protein interactions or gene regulatory relations. However, in the GENIA corpus, such associations involving change in the state or properties of biomolecules are captured in the event annotation.

The GENIA corpus relation annotation aims to complement the event annotation of the corpus by capturing (primarily) static relations, relations such as part-of that hold between entities without (necessarily) involving change.

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Catalogue records · 1

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Stated by source
text
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsbigbio/genia_relation_corpus15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0