| 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) |