A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Code from the paper "Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity"

This is an example program illustrating BERTs masked language model.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

A framework for Lexical Simplification.

State of the Art Natural Language Processing

Deep Keyphrase Extraction using BERT

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

Evolution of word vectors from long, sparse, and 1-hot to short, dense, and context sensitive

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Builds wordpiece(subword) vocabulary compatible for Google Research's BERT

A tool for extracting plain text from Wikipedia dumps

Code for using and evaluating SpanBERT.

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Auxiliary GAN for WE post-specialisation

Exploring Neural Text Simplification

Lexical Simplification with Pretrained Encoders

BioBert Pytorch

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

repository for Publicly Available Clinical BERT Embeddings

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

A neural named entity recognition and multi-type normalization tool for biomedical text mining

System for Medical Concept Extraction and Linking