Welcome to the Statistical Natural Language Processing Group at the Institute for Computational Linguistics at Heidelberg University. Our research is at the intersection of machine learning, natural language processing, and medical informatics, with a special focus on interactive statistical learning techniques.
We organize the weekly Statistical NLP Colloquium.
Latest news
New research from the StatNLP group titled Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits is available as a pre-print on arXiv.
New research from the StatNLP group titled Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation will be published in the journal TMLR. A copy is already available on OpenReview.
The monograph is published in the Synthesis Lectures on Human Language Technologies series by Springer. More info