mirror of https://github.com/open-mmlab/mmocr.git
* update coco ref * init_cfg for dbnet * initcfg for mask_rcnn * textsnake init_cfg * fix dbnet * panet initcfg * psenet initcfg * fcenet initcfg * drrg initcfg * add init_cfg to detectors * update maskrcnn config file to support mmdet * fix init_cfg of fce_head * crnn initcfg * init_weights in training * nrtr initcfg * robust_scanner initcfg * sar init_cfg * seg init_cfg * tps_crnn init_cfg * sdmgr initcfg * ner init_cfg * fix textsnake * sdmgr initcfg * move "pretrained" to "init_cfg" for config files * Moduleslist update * fix seg * ner init_cfg * fix base * fix encode decode recognizer * revert dbnet config * fix crnn * fix base.py * fix robust_scanner * fix panet * fix test * remove redundant init_weights() in fcehead * clean up * relex mmdet version in workflow * Add dependency version check * Update mmocr/models/textdet/dense_heads/pse_head.py Co-authored-by: Hongbin Sun <hongbin306@gmail.com> Co-authored-by: Hongbin Sun <hongbin306@gmail.com> |
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README.md | ||
bert_softmax_cluener_18e.py |
README.md
Chinese Named Entity Recognition using BERT + Softmax
Introduction
[ALGORITHM]
@article{devlin2018bert,
title={Bert: Pre-training of deep bidirectional transformers for language understanding},
author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
journal={arXiv preprint arXiv:1810.04805},
year={2018}
}
Dataset
Train Dataset
trainset | text_num | entity_num |
---|---|---|
CLUENER2020 | 10748 | 23338 |
Test Dataset
testset | text_num | entity_num |
---|---|---|
CLUENER2020 | 1343 | 2982 |
Results and models
Method | Pretrain | Precision | Recall | F1-Score | Download |
---|---|---|---|---|---|
bert_softmax | pretrain | 0.7885 | 0.7998 | 0.7941 | model | log |