GRASP_Base

Reported on 4 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Relation ExtractiononDialogRE
F1 (v1)· 2022-08-26
69.2
best: 75.1 (GRASP_Large)
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction arXiv:2208.12494
Relation ExtractiononDialogRE
F1 (v2)· 2022-08-26
69
best: 77.1 (HiDialog)
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction arXiv:2208.12494
Relation ExtractiononDialogRE
F1c (v1)· 2022-08-26
62.4
best: 66.7 (GRASP_Large)
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction arXiv:2208.12494
Relation ExtractiononDialogRE
F1c (v2)· 2022-08-26
61.7
best: 69.8 (DiaRE-D2G)
GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction arXiv:2208.12494