Project Idea Description:
The project aims to address the widespread issue of complex and lengthy Terms-of-Service (ToS) agreements that users often encounter when using digital platforms or services. The primary focus is on leveraging automated text summarization or classification techniques to simplify and enhance the comprehensibility of these agreements.
Overview:
Problem Statement: Lengthy and convoluted ToS agreements are a common barrier to user comprehension, leading to potential misunderstandings, user disengagement, or blindly agreeing without understanding the terms.
Objective: Develop a system that utilizes advanced natural language processing (NLP) techniques to simplify and improve the readability of ToS agreements.
Approach:
Automated Text Summarization: Implement algorithms that can condense lengthy ToS documents into shorter, more digestible summaries while retaining essential information.
Fine-Tuning of pre-trained model
User Interface: Develop a user-friendly interface that presents the simplified ToS summaries or categorized sections in a clear and accessible format.
Group Members: Emre Iyigün, Ali Moutyrek, Tobias Ludwig, Katharina Thiel, An-Phi Dang
GitHub Repo: https://github.com/EmreYY20/ToS-Simplification
Project Idea Description: The project aims to address the widespread issue of complex and lengthy Terms-of-Service (ToS) agreements that users often encounter when using digital platforms or services. The primary focus is on leveraging automated text summarization or classification techniques to simplify and enhance the comprehensibility of these agreements.
Overview:
Problem Statement: Lengthy and convoluted ToS agreements are a common barrier to user comprehension, leading to potential misunderstandings, user disengagement, or blindly agreeing without understanding the terms.
Objective: Develop a system that utilizes advanced natural language processing (NLP) techniques to simplify and improve the readability of ToS agreements.
Approach:
Automated Text Summarization: Implement algorithms that can condense lengthy ToS documents into shorter, more digestible summaries while retaining essential information.
Fine-Tuning of pre-trained model
User Interface: Develop a user-friendly interface that presents the simplified ToS summaries or categorized sections in a clear and accessible format.
Group Members: Emre Iyigün, Ali Moutyrek, Tobias Ludwig, Katharina Thiel, An-Phi Dang