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NLP: Natural Language Processing

On 11.11.2021 at 11 a.m., the 5th lecture of the Living Lab lecture series took place. In this talk, Dr. Sunna Torge, Lena Jurkschat and Lalith Manjunath from TU Dresden talked about Natural Language Processing (NLP) with a focus on domain-specific text analysis. 

Natural Language Processing (NLP)

After an introduction to language modelling and text analysis using machine learning (ML) methods, the analysis of two different text data sets was explained. In the lecture, Dr. Sunna Torge, Lena Jurkschat and Lalith Manjunath show how clustering and domain specific entity recognition works.

You can rewatch this lecture on YouTube.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

FAQ

You can reach the permanent room for all lectures here: https://tud.link/i8zf

The room will be accessible 5 minutes before the start of the lecture.

The participation is free for everyone.

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.