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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.

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BERT-for-Sequence-Labeling-and-Text-Classification
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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.

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