morenolaquatra / inclusively

Flask demo for the Inclusively platform

Inclusively

Inclusively aims at creating deep learning models that can detect and correct non-inclusive language writing.

It leverages an NLP pipeline that includes:

• Detection: It detects non-inclusive language in the text using text classification techniques.
• Rewriting: If some non-inclusive language is detected, a sequence-to-sequence model is used to modify the text and suggest a more inclusive rewriting.

If you find this project useful, please consider citing the papers listed in the References section.

Table of Contents

• Methodology and Models
• Project Demo
  • How does it work?
  • Screenshots
  • Supported languages
• References
• People behind Inclusively

Methodology and Models

A paper describing the methodology and the models trained for this project is currently under review. Models will be released upon paper acceptance and publication in this repository.

... more info will be available soon ...

Demo

This repository also contains the Flask application that powers the Inclusively platform demo. This demo has been accepted at ECML PKDD 2023 - Demo Track.

How does it work?

The platform is composed of 4 main pages:

• Home: The home page of the platform. It contains a brief description of the platform and a link to the demo.
• Testing: The testing page. It contains the demo itself and the possibility to insert the text to be corrected by Inclusively.
• Evaluation: The evaluation page. It allows users to evaluate the correctness of the corrections made by Inclusively. Each user can provide a feedback for each correction at sentence level.
• Explanation: The explanation page. It contains the output of explainability methods applied to the model. It can allow data scientists to understand how the model works and how it makes its decisions.

Screenshots

Home page

Assistant page

Evaluation and Annotation page

Explanation page

Supported languages

• 🇮🇹 Italian
• [WIP] 🇫🇷 French
• [WIP] 🇪🇸 Spanish

References

If you find this project useful, please consider citing the following papers:

Inclusively: An AI-Based Assistant for Inclusive Writing

@InProceedings{10.1007/978-3-031-43430-3_31,
	author="La Quatra, Moreno and Greco, Salvatore and Cagliero, Luca and Cerquitelli, Tania",
	title="Inclusively: An AI-Based Assistant for Inclusive Writing",
	booktitle="Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track",
	year="2023",
	publisher="Springer Nature Switzerland",
	address="Cham",
	pages="361--365",
	isbn="978-3-031-43430-3"
}

A paper describing the methodology and the models trained for this project is currently under review and will be added here upon acceptance.

People behind Inclusively

• Moreno La Quatra - Homepage - GitHub - Twitter
• Salvatore Greco - Homepage - GitHub
• Luca Cagliero - Homepage
• Tania Cerquitelli - Homepage