# 1.2 因为ner中，每个句子的ner中的实体的[start, end, label]的起止为止是在多个句子中的token位置 # 1.2 所以必须先把多个句子的 ...

The review highlights the key advantage of transformers: their ability to handle vast, complex, and heterogeneous data ...

Impact Statement: ARDIAL-BERT represents a significant breakthrough in Arabic multidialectal Named Entity Recognition (NER), providing the first comprehensive model capable of accurately recognizing ...

This repository contains solution of NER task based on PyTorch reimplementation of Google's TensorFlow repository for the BERT model that was released together with the paper BERT: Pre-training of ...

BERT stands for Bidirectional Encoder Representations from Transformers. It is a type of deep learning model developed by Google in 2018, primarily used in natural language processing tasks such ...