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Thanks for solid work!
The question is that when we are training the RE module of layoutlmv2,one input is the token label (e.g question answer…),which is given in the dataset.If I do predictions, where can I get the token label? If I get it from the prediction of NER head of layoutlmv2 , should I train 2 models,one is for NER,one is for RE? Or jointly train the model? I can’t find the joint training code of the task!
Thanks for solid work!
The question is that when we are training the RE module of layoutlmv2,one input is the token label (e.g question answer…),which is given in the dataset.If I do predictions, where can I get the token label? If I get it from the prediction of NER head of layoutlmv2 , should I train 2 models,one is for NER,one is for RE? Or jointly train the model? I can’t find the joint training code of the task!
谢谢你们的工作!
当我需要使用关系提取这个下游任务时,我需要输入关系中的head和tail,如何去获取这类信息?如果要通过layoutlmv2下游的ner去获取的话,那我是要分开训练两个模型去完成两个任务,还是做多任务学习,联合训练ner和re两个task?没有在release里面看到联合训练的代码 所以想知道怎么去做这个关系提取的任务!
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