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.
New research from the StatNLP group on the combination of structured prediction and sequence-to-sequence learning has been accepted for publication in the TACL journal. Access the paper here.
We are happy to announce a new research project on the topic of Conversational AI, funded by a Google Focused Research Award.
For more information on the project, see here.
We entered the blogosphere with the StatNLP HD Blog. Our posts will focus on pitfalls in methodologies, recent advances and important problems in our field of research.