rebel-base-chinese-cndbpedia is a generation-based relation extraction model
·a SOTA chinese end-to-end relation extraction model.
·using the training method of "REBEL：Relation Extraction By End-to-end Language generation"(EMNLP Findings 2021).
·using the Distant-supervised data from cndbpedia.
·can perform SOTA in many chinese relation extraction dataset,such as lic2019,lic2020,HacRED,etc.
·easy to use,just like normal generation task.
·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)