BE-BLC-for-English-NER-task-Bert-ELMO-OntoNotes

BE-BLC: BERT-ELMO-Based Deep Neural Network Architecture for English Named Entity Recognition Task

Requirements

OS: Linux
Python version: 3.7.7
AllenNLP version: 0.9.0
PyTorch version: 1.4.0

Dataset

OntoNotes 5.0 from LDC (thru email)
CoNLL-formatted OntoNotes 5.0 scripts from http://conll.cemantix.org/2012/data.html

Run

allennlp train "path\To\the\Json\File" -s "path\Where\To\save\the\outputted\model"

Test

allennlp evaluate "/path/to/model.tar.gz" "path/to/test/data/conll-2012/v9/data/test/data/english/"

If you used this model please cite us as :

@article{affi2021blc, title={BE-BLC: BERT-ELMO-Based Deep Neural Network Architecture for English Named Entity Recognition Task}, author={Affi, Manel and Latiri, Chiraz}, journal={Procedia Computer Science}, volume={192}, pages={168--181}, year={2021}, publisher={Elsevier} }