Statistical Natural Language Processing Group
Welcome to the Statistical Natural Language Processing Group at the Institute for Computational Linguistics at Heidelberg University.
Our research addresses various aspects of the problem of the confusion of languages
, by means of statistical learning techniques
New work on Bandit Structured Predictionaccepted at EMNLP 2017 and WMT 2017: Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation. Carolin Lawrence, Artem Sokolov, Stefan Riezler. EMNLP 2017
A Shared Task on Bandit Learning for Machine Translation. Artem Sokolov, Julia Kreutzer, Kellen Sunderland, Pavel Danchenko, Witold Szymaniak, Hagen Fürstenau, Stefan Riezler. WMT 2017
Paper accepted at ACL 2017: Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. Julia Kreutzer, Artem Sokolov, Stefan Riezler.
Shared Task on Bandit Learning for Machine Translation organized by Statistical NLP group and Amazon Development Center, Berlin
Amazon and University of Heidelberg organize a Shared Task on Bandit Learning for Machine Translation with the goal to encourage researchers to investigate algorithms for learning from weak user feedback instead of from human references or post-edits that require skilled translators. We are interested in finding systems that learn efficiently and effectively from this type of feedback, i.e. they learn fast and achieve high translation quality. Developing such algorithms is interesting for interactive machine learning and for human feedback in NLP in general. See the WMT17 page for more information.
New DFG-funded project on Interactive Lecture Translation
A new research project on auto-adaptive learning from weak feedback for interactive machine lecture translation will soon start. The project attempts to learn machine translation from bandit feedback in form of judgements on the quality of a predicted translation without requiring a post-edit or a gold-standard translation. The application scenario is the translation of university lectures, a focus which is shared with parallel projects at RWTH Aachen, KIT Karlsruhe, and the University of the Saarland, Saarbrücken.