Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Portuguese pre-trained BERT models

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

A Model for Natural Language Attack on Text Classification and Inference

BETO - Spanish version of the BERT model

🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Abstractive summarisation using Bert as encoder and Transformer Decoder

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

Semantics-aware BERT for Language Understanding (AAAI 2020)

Ner with Bert

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)