Enterprise Data Science and AI
Project Title: “Applications of text generation through semi-supervised learning and other state-of-the-art Machine Learning approaches”
Researchers:
Anum Afzal, Chair for Software Engineering of Business Information Systems
Motivation:
The project explores semi-supervised learning frameworks with applications of text generation using deep learning models. This project addresses several research questions, such as the development of an approach for automated labeling of data generated via chatbot interactions, the integration of user feedback for an enhanced learning experience for the chatbot, and the improvement of chatbot responses where only a limited dataset is available for training. During the course of this research, the needs of a variety of applications and use cases will be analyzed with respect to state-of-the-art methods in semi-supervised learning and Natural Language Processing.
Project Start: 2022
Project End: 2026 (expected)
Chair:
Prof. Dr. Florian Matthes, Chair for Software Engineering of Business Information Systems