Semantic Entity Recognition and Relation Extraction using LayOutLMV3

microsoft / unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

https://aka.ms/GeneralAI

MIT License

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Semantic Entity Recognition and Relation Extraction using LayOutLMV3 #941

Open ChidanandKumarVimaan opened 1 year ago

ChidanandKumarVimaan commented 1 year ago

Describe Model I am using (UniLM, MiniLM, LayoutLM ...):

Kindly give the procedure to train LayOutLMV3 for Semantic Entity Recognition(SER) and Relation Extraction (RE). Kindly do the needful

HYPJUDY commented 1 year ago

Hi, for the Semantic Entity Recognition(SER) task, please refer to the codes of fine-tuning on the FUNSD dataset (or CORD dataset). We have not experimented with the Relation Extraction (RE) task.