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[ACL'23] Code for "SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition"

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SANTA

Hi, this is the code of our paper "SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition" accepted by ACL 2023 Findings. Our paper is available here.

News:

Accepted by ACL 2023 Findings. 2023.05

Code released at Github. 2023.08

Preparation

Download different pretrained LMs into resource/

Use environments.yaml to get the right environments

Reproduce results

For EC:

sh train_EC.sh

For Webpage:

sh train_NEWS.sh

For OntoNotes5.0:

sh train_onto.sh

For BC5CDR:

sh train_bc5cdr.sh

We got our results in single A40.

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[ACL'23] Code for "SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition"

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