Welcome to the Statistical Natural Language Processing Group at the Institute for Computational Linguistics at Heidelberg University. Our research is on the intersection of machine learning and natural language processing, with a special focus on interactive statistical learning techniques. For example, we work on interactive neural machine translation and neural question answering systems, where an artificial intelligence agent learns from human reinforcement/bandit feedback.
We organize the weekly Statistical NLP Colloquium.
Latest news
Second edition of "Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science" published
The monograph is published in the Synthesis Lectures on Human Language Technologies series by Springer. More info