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Relation Extraction on XFUND

84.71ZH ScoreLiLT[InfoXLM] BASE
13.26231.81150.3668.909Feb 28, 2022

Evaluation results

MethodLinks
LiLT[InfoXLM] BASEMultitask fine-tuning=true, Pre-training Docs Language=English only, Pre-training Docs Size=11M2022.0284.7183.4583.3584.6684.5878.7876.4381.25
LayoutXLM_BASEMultitask fine-tuning=true, Pre-training Docs Language=Multilingual, Pre-training Docs Size=30M2022.0282.4181.4281.0482.2183.178.5470.4478.23
LiLT[InfoXLM]-BASEPre-training Data Language=English only, Pre-training Docs Size=11M, Evaluation Protocol=fine-tuning on X, testing on X2022.0272.9770.3771.9569.6570.4365.5858.7467.81
LayoutXLM-BASEPre-training Data Language=Multilingual, Pre-training Docs Size=30M, Evaluation Protocol=fine-tuning on X, testing on X2022.0270.7369.6368.9663.5364.1565.5157.1864.32
XLM-R_BASEMultitask fine-tuning=true2022.0267.9768.2968.2867.2769.3768.8760.8263.41
InfoXLM_BASEMultitask fine-tuning=true2022.0264.9364.7368.2868.3166.963.8457.6361.45
InfoXLM-BASEPre-training Data Language=-, Pre-training Docs Size=-, Evaluation Protocol=fine-tuning on X, testing on X2022.0252.146055.1649.1352.8152.6241.749.1
XLM-RoBERTa-BASEPre-training Data Language=-, Pre-training Docs Size=-, Evaluation Protocol=fine-tuning on X, testing on X2022.0251.055852.9549.6553.0550.4139.8247.69
LiLT [InfoXLM] BASEPre-training Docs Language=English only, Pre-training Docs Size=11M, Evaluation Protocol=Cross-lingual zero-shot transfer2022.0247.6450.8149.6852.0946.9741.6942.7249.3
LayoutXLM_BASEPre-training Docs Language=Multilingual, Pre-training Docs Size=30M, Evaluation Protocol=Cross-lingual zero-shot transfer2022.0244.9444.0847.0844.1640.938.236.8543.88
InfoXLM_BASEEvaluation Protocol=Cross-lingual zero-shot transfer2022.0224.0528.5124.8124.5421.9320.2720.4924.23
XLM-R_BASEEvaluation Protocol=Cross-lingual zero-shot transfer2022.0216.0126.1124.422.423.7422.8819.9622.76