Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

Last update: Dec 15, 2022

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Deep Learning dilbert

Overview

DiLBERT

Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

Pretrained Model

The pretrained model presented in the paper is available on the huggingface model hub:

from transformers import AutoModelForMaskedLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("beatrice-portelli/DiLBERT")
model = AutoModelForMaskedLM.from_pretrained("beatrice-portelli/DiLBERT")

00_clean_corpus.py document preprocessing and cleaning
01_build_tokenizer.py build a tokenizer from scratch based on the current corpus
02_pretraine_model.py pretraining script (see constants.py for architecture and pretraining parameters)
03_finetune.py finetuning script (classification task)
04_test.py test script (classification task)

Owner

Kevin Roitero

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Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

Related tags

Overview

DiLBERT

Pretrained Model

Contents

Owner

Kevin Roitero

the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"

TF Image Segmentation: Image Segmentation framework

JAXDL: JAX (Flax) Deep Learning Library

TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)

PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

A Joint Video and Image Encoder for End-to-End Retrieval

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Implementation of CVPR'2022:Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features"

Replication of Pix2Seq with Pretrained Model

Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time".

Bayesian Meta-Learning Through Variational Gaussian Processes

Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Ganilla - Official Pytorch implementation of GANILLA

Spatial Sparse Convolution Library

Iran Open Source Hackathon