Syntactic Multi-view Learning for Open Information Extraction

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Benchmark Model Rank Results
open-information-extraction-on-lsoie-wikiSMiLe-OIE#1F1: 51.73
open-information-extraction-on-lsoie-wikiBERT + Dep-GCN - Const-GCN#2F1: 50.21
open-information-extraction-on-lsoie-wikiBERT + Dep-GCN [?] Const-GCN#3F1: 49.89
open-information-extraction-on-lsoie-wikiBERT + Const-GCN#4F1: 49.71
open-information-extraction-on-lsoie-wikiIMoJIE Kolluru et al. (2020)#5F1: 49.24
open-information-extraction-on-lsoie-wikiBERT + Dep-GCN#6F1: 48.71
open-information-extraction-on-lsoie-wikiBERT Solawetz and Larson (2021)#7F1: 47.54
open-information-extraction-on-lsoie-wikiCIGL-OIE + IGL-CA Kolluru et al. (2020)#8F1: 44.75
open-information-extraction-on-lsoie-wikiGloVe + bi-LSTM + CRF#9F1: 44.48
open-information-extraction-on-lsoie-wikiGloVe + bi-LSTM Stanovsky et al. (2018)#10F1: 43.9
open-information-extraction-on-lsoie-wikiCopyAttention Cui et al. (2018)#11F1: 39.52

Rank counts only results with a code link.