lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
$ git clone https://github.com/monologg/JointBERT.gitThis repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
Data from GitHub · snapshot Nov 13, 2026