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

Indices Matter: Learning to Index for Deep Image Matting

traiNNer is an open source image and video restoration (super-resolution, denoising, deblurring and others) and image to image translation toolbox based on PyTorch.

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A pyparsing-based library for parsing SOQL statements

A toy compiler that can convert Python scripts to pickle bytecode 🥒

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

Interactive Image Generation via Generative Adversarial Networks

💛 Code and Dataset for our EMNLP 2021 paper: "Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes"

PyTorch implementation of EfficientNetV2

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