GitHub - dbagal/do_redo: We propose a novel hierarchy-independent "Do-Redo" model for nested NER. The proposed model overcomes a number of shortcomings in state-of-the-art techniques, including the detection of overlapping entities, slow inference speed, restrictions on length or number of predicted entities, and dependence on the number of nesting levels.

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Name		Name	Last commit message	Last commit date
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dataloaders		dataloaders
datasets		datasets
do_redo_tokenizers		do_redo_tokenizers
evaluation-results		evaluation-results
logs		logs
.gitignore		.gitignore
config.conf		config.conf
crf.py		crf.py
drug.pt		drug.pt
genia.pt		genia.pt
gitignore.txt		gitignore.txt
model.py		model.py
test.py		test.py
train.py		train.py
utils.py		utils.py

About

We propose a novel hierarchy-independent "Do-Redo" model for nested NER. The proposed model overcomes a number of shortcomings in state-of-the-art techniques, including the detection of overlapping entities, slow inference speed, restrictions on length or number of predicted entities, and dependence on the number of nesting levels.

nlp natural-language-processing information-extraction named-entity-recognition nested-named-entity-recognition