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.

group photo
Offsite 2019 @ Gargellen (Austria)

Latest news

New publication at EMNLP-IJCNLP Demo Track 2019

Joey NMT will be presented at the demo track in EMNLP-IJCNLP 2019. The paper is available on arxiv. We released pre-trained models for the WMT17 en-de and lv-en benchmarks here.

New publications at ACL and MT Summit

New research from the StatNLP group on sequence-to-sequence reinforcement learning has been accepted at the ACL and MT SUMMIT conferences. Please access the papers here.

New publication at TACL

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.

New research project in Conversational AI

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.

Launching our blog

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.