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 Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis appears at the 6th Machine Learning for Healthcare Conference 2022. The paper is available here.
The monograph is published in the Synthesis Lectures on Human Language Technologies series by Morgan & Claypool Publishers.More info