PhD Courses in Denmark

Welcome to Advanced Natural Language Processing for Industry - Theory and Practice

Description: 

The aim of this course is to equip PhD students with a comprehensive understanding of cutting-edge natural language processing (NLP) technologies and their application in real-world industrial settings.  Solid understanding of these vital NLP techniques equips business and engineering PhD students with the necessary skills to leverage textual data effectively to solve the real-world problems, e.g., improving customer satisfaction, developing intelligent systems, and making data-driven decisions. This leads to success in today's data-driven and language-driven industrial landscape. The topics covered here are text classification, sentiment analysis, speech recognition, conversational AI and applications of large language model (e.g. ChatGPT).  In addition to theoretical knowledge, this course places a strong emphasis on practical implementation and problem-solving. Participants will engage in hands-on exercises, working with industry-standard tools and libraries. Participants will develop the ability to identify and solve NLP challenges specific to their respective fields. By the end of the course, participants will possess the skills necessary to navigate the rapidly evolving landscape of NLP technologies. They will have the ability to develop and deploy advanced NLP models to tackle complex language-related problems faced by businesses and industries. 

Organizer: 

Associate Professor, Chen Li, cl@mp.aau.dk 

Lecturers: 

Associate Professor, Chen Li, Department of Materials and Production

Associate Professor, Dimitris Chrysostomou, Department of Materials and Production

Postdoc, David Andres Figueroa Salvador, Department of Materials and Production

Lecturer, Zhuangzhuang Dai, School of Computer Science and Digital Technologies, Aston University

ECTS: 3

Time: 24 - 28 November 2025

Place: Fibigerstræde 14, room 58, Aalborg University, 9220 Aalborg

Deadline: 3 November 2025

Maximal number of participants: 20
 

Target Students:

The course will target PhD students in the fields of business and engineering from all the Danish universities and ideally from the universities all over the world. Industry professionals are also encouraged to participate. Maximum 20 students will be selected to attend the course.

Books:

• Ankur A. Patel, Ajay Uppili Arasanipalai, Applied Natural Language Processing in the Enterprise, O'REILLY
• Dan Jurafsky, James H. Martin, Speech and Language Processing (3rd ed. draft)
• Lewis Tunstall, Leandro von Werra, Thomas Wolf, Natural Language Processing with Transformers, O'REILLY

Online Materials:

• Advanced NLP, Carnegie Mellon University
• CS224n: NLP with Deep Learning by Stanford University

• Machine Learning, Hongyi LEE, National Taiwan University

Course Language:

The course will be given in English.

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk When contacting us please state the course title and course period. Thank you.