yuanxiaosc/BERT-for-Sequence-Labeling-and-Text-Classification
A TensorFlow-based template for applying BERT to sequence labeling and text classification tasks including NER and slot filling.

Velocity · 7d
+0.2
★ / day
Trend
→steady
star history
This repository provides template code for using BERT (Bidirectional Encoder Representations from Transformers) to perform sequence labeling and text classification tasks. The code supports named entity recognition on the CoNLL-2003 dataset, and joint slot filling and intent prediction on the ATIS and SNIPS datasets. It uses TensorFlow for model implementation and training.