BERTOverflow

模型描述

我们在StackOverflow十年存档中的1.52亿条句子上对BERT-base模型进行了预训练。该模型的更多细节可参阅我们在ACL 2020发表的论文：《StackOverflow中的代码与命名实体识别》。

使用方法

from transformers import *
import torch

tokenizer = AutoTokenizer.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github")
model = AutoModelForTokenClassification.from_pretrained("lanwuwei/BERTOverflow_stackoverflow_github")

BibTeX引用信息

@inproceedings{tabassum2020code,
    title={Code and Named Entity Recognition in StackOverflow},
    author={Tabassum, Jeniya  and Maddela, Mounica  and Xu, Wei and Ritter, Alan },
    booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL)},
    url={https://www.aclweb.org/anthology/2020.acl-main.443/}
    year = {2020},
}