Data-driven stylistic business book summarization for personalized reading and learning using natural language generation (NLG) and text style transfe

natural language processing, large language models, text summarization

Brief information

School:

Business

Status:

Completed

Period:

01.09.2022 - 11.08.2023

Overview

In this project, state-of-the-art natural language processing techniques and large language models are used to summarize long documents. The result inspires research on summarizing long documents and guides practical applications.

Facts

Type of project

Forschung

Internal organisations involved
  • CC Communication & Marketing Technologies
Funding
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)

Persons involved: internal

Project manager
Member of project team