Dive into Snorkel: Weak-Supervision on German Texts
How do we proceed if we have almost no labeled data for a machine learning model? One answer may be: combining all the knowledge we have in one framework to get to the best of each world. This blogpost investigates the trending data programming framework Snorkel for the task of detecting bad language on German texts.
Master thesis: Sequential transfer learning in NLP for text summarization
My Master thesis investigating recent techniques for transfer learning and their influence on machine summarization systems. A current trend in Natural Language Processing (NLP) is to pre-train extensive language models in advance and adapt these to address problems in various task domains.
Reproducibility in Machine Learning
This post aims to work out common challenges in reproducibility for machine learning and shows programming differences to other areas of Computer Science. Further, we will see practices and workflows to create a higher grade of reproducibility in machine learning with tools like DVC, pachyderm and KubeFlow.
Re-usable Web Interfaces with client-side Frameworks and Web Components (Part 2)
In the first part of our series we elaborated on the common use of Web Components and web frameworks taking Angular and Polymer as examples. We ended the article with the statement that both suffer …
Re-usable Web Interfaces with client-side Frameworks and Web Components (Part 1)
In the first part of our series we will clear up the differences between web frameworks and Web Components and motivate their common usage. Why shouldn’t we develop highly interactive applications …