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README.md
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rebel-base-chinese-cndbpedia is a generation-based relation extraction model
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·a SOTA chinese end-to-end relation extraction model.
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·using the training method of "REBEL：Relation Extraction By End-to-end Language generation"(EMNLP Findings 2021).
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·using the Distant-supervised data from cndbpedia.
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·can perform SOTA in many chinese relation extraction dataset,such as lic2019,lic2020,HacRED,etc.
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·easy to use,just like normal generation task.
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·input is sentence,and output is linearlize triples,such as input:姚明是一名NBA篮球运动员 output:[subj]姚明[obj]NBA[rel]公司[obj]篮球运动员[rel]职业(more details can read on REBEL paper)
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