Dive into Snorkel: Weak-Supervision on German Texts

2021-02-10T09:18:02+00:00

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.

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 (labeled data, distant superv

Dive into Snorkel: Weak-Supervision on German Texts2021-02-10T09:18:02+00:00

Transfer Learning for Text Classification with Siamese Networks

2021-02-10T09:00:47+00:00

In this blogpost, I want to present my master's thesis, which focused on transfer learning for text classification using Siamese Networks.

Text classification is a field in natural language processing (NLP), which assigns text to given classes. With applications in sentiment analysis, spam detection or i

Transfer Learning for Text Classification with Siamese Networks2021-02-10T09:00:47+00:00

Summarizing Long Texts with Seq2Seq Neural Networks

2021-02-10T09:00:21+00:00

We extend state-of-the-art  sequence-to-sequence neural networks for summarization of long text across windows. By learning transitions, we are able to process arbitrarily long texts during inference.

This blog post describes my master thesis "Abstractive Summarization for Long Texts". We’ve extended existing state-of-the-art  sequence-to-sequence (Seq2Seq) neural net

Summarizing Long Texts with Seq2Seq Neural Networks2021-02-10T09:00:21+00:00

Price Prediction in Online Car Marketplaces using Natural Language Processing

2021-02-10T09:18:37+00:00

I use state-of-the-art NLP techniques to improve an existing pricing model in an online car market. Online car markets usually use technical car attributes for price prediction with sellers adding description texts to provide more details. In my thesis, I use these texts to improve the existing pricing model.

tl;dr: This blog post summarizes my masters‘ thesis. I use state-of-the-art NLP techniques to improve an existing pricing model in an online car market. Online

Price Prediction in Online Car Marketplaces using Natural Language Processing2021-02-10T09:18:37+00:00