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EvaNIL: silver standard dataset for large-scale NIL entity linking evaluation

Research datakeyboard_double_arrow_right Dataset 14 Jan 2022 English Publisher:Zenodo
Authors: Ruas, Pedro; Couto, Francisco M;

doi: 10.5281/zenodo.5849231 , 10.5281/zenodo.6561410 , 10.5281/zenodo.5849230

EvaNIL: silver standard dataset for large-scale NIL entity linking evaluation

Abstract

The EvaNIL dataset can be used to train or evaluate approaches developed for NIL entity linking. It was built from several Biomedical and Life Sciences corpora: PubMed DS CRAFT corpus MedMentions These corpora contain entities associated with knowledge base concepts. To build the EvaNIL dataset, we assumed that those knowledge base concepts did not exist in the respective knowledge bases, so each entity is associated instead with the direct ancestors of those original concepts. The EvaNIL dataset is divided into 6 partitions including annotations from several knowledge bases: "medic" (CTD-MEDIC) "ctd_anatomy" (CTD-Anatomy) "ctd_chemicals" (CTD-Chemicals) "chebi" (ChEBI) "go_bp" (GO-Biological Process) "hp" (HPO) Size of the uncompressed dataset: 957.5 MB

Funding by Fundação para a Ciência e a Tecnologia (FCT) through the following grants: 2020.05393.BD, PTDC/CCI-BIO/28685/2017, UIDB/00408/2020, UIDP/00408/2020

Related Organizations
Keywords

NIL entity, Entity Linking, Natural Language Processing, Text Mining, Biomedical text

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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