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MedDistant19: Towards an Accurate Benchmark for Broad-Coverage
  Biomedical Relation Extraction

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction

10 April 2022
Saadullah Amin
Pasquale Minervini
David Chang
Pontus Stenetorp
G. Neumann
ArXivPDFHTML

Papers citing "MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction"

2 / 2 papers shown
Title
Separating Retention from Extraction in the Evaluation of End-to-end
  Relation Extraction
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
Bruno Taillé
Vincent Guigue
Geoffrey Scoutheeten
Patrick Gallinari
66
5
0
24 Sep 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
406
2,584
0
03 Sep 2019
1