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.

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

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

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.

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

Abstractive summarisation using Bert as encoder and Transformer Decoder

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

Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions

使用BERT模型做文本分类；面向工业用途

an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.

Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks