NLU Dataset Diagnostics

Last update: Jul 20, 2022

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Overview

NLU Dataset Diagnostics

This repository contains data and scripts to reproduce the results from our paper:

Aarne Talman, Marianna Apidianaki, Stergios Chatzikyriakidis, Jörg Tiedemann. 2022. How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets.

Reproduce our results

Install the dependencies by running:

pip install -r requirements.txt

Run the experiments using the following command:

bash run_experiment.sh

The Python script run_corrupt_glue.py is a modified version of the run_glue.py script by Huggingface available in their Text classification examples.

Owner

Language Technology at the University of Helsinki

Projects and resources developed in the Language Technology Research Group at the University of Helsinki.

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NLU Dataset Diagnostics

Related tags

Overview

NLU Dataset Diagnostics

Reproduce our results

Owner

Language Technology at the University of Helsinki

Implementation of Stochastic Image-to-Video Synthesis using cINNs.

GRaNDPapA: Generator of Rad Names from Decent Paper Acronyms

[NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”,

Custom Implementation of Non-Deep Networks

Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn

AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation

Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix

InvTorch: memory-efficient models with invertible functions

The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast".

Cancer-and-Tumor-Detection-Using-Inception-model - In this repo i am gonna show you how i did cancer/tumor detection in lungs using deep neural networks, specifically here the Inception model by google.

Qcover is an open source effort to help exploring combinatorial optimization problems in Noisy Intermediate-scale Quantum(NISQ) processor.

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