Staff

Prof. Dr. Stephan Busemann

  • Address (Saarbrücken)
    Gebäude D3 1
    Stuhlsatzenhausweg 3
    D-66123 Saarbrücken

Prof. Dr. Stephan Busemann

Publications

Mārcis Pinnis, Stephan Busemann, Artūrs Vasiļevskis, Josef van Genabith

In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI) 2021 Springer 10/2021.

To the publication
Lilli Smal, Andrea Lösch, Josef van Genabith, Maria Giagkou, Thierry Declerck, Stephan Busemann

In: Nicoletta Calzolari , Frédéric Béchet , Philippe Blache , Christopher Cieri , Khalid Choukri , Thierry Declerck , Sara Goggi , Hitoshi Isahara , Bente Maegaard , Joseph Mariani , Hélène Mazo , Asuncion Moreno , Jan Odijk , Stelios Piperidis (editor). Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). International Conference on Language Resources and Evaluation (LREC-2020) May 11-16 Marseille France Pages 3443-3448 ISBN 979-10-95546-34-4 ELRA Paris 5/2020.

To the publication
Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu

In: Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Conference of the European Chapter of the Association for Computational Linguistics (EACL-2017) April 3-7 Valencia Spain Pages 5-8 Association for Computational Linguistics 4/2017.

To the publication

Profile

Short biography

Stephan Busemann is the associate head of the research department "Multilinguality and Language Technology" (MLT), where he works as Principal Researcher, Research Administrator and Project Leader. His areas of expertise are artificial intelligence, computational linguistics, language technology and here in particular text generation.

Stephan Busemann studied Computer Science, Artificial Intelligence and Linguistics at the Technical University of Darmstadt and at the University of Hamburg. In 1990, he received his doctorate from the Department of Computer Science at Saarland University.

After receiving his diploma in 1984, he worked at the University of Hamburg on the generation of dialog utterances in the context of the widely recognized dialog system HAM-ANS. In 1985, he moved to the TU Berlin, where he worked on implementations of Generalized Phrase Structure Grammars (GPSG) and their use for machine translation as part of the EUROTRA-D accompanying research. His PhD thesis involved the development of a GPSG-based generation system. In 1990, he moved to DFKI in Saarbrücken and worked on constraint-based dialog systems for natural language. Later, his work also included information extraction, text classification, text generation, and technology roadmapping.

Since 1990, Stephan Busemann has regularly taught students at Saarland University. He supervises doctoral, master and bachelor theses. In 2000, he was appointed "DFKI Research Fellow". In 2011, Stephan Busemann was appointed Honorary Professor of Computational Linguistics at Saarland University.

CORA4NLP


Co(n)textual Reasoning and Adaptation for Natural Language Processing

Language is implicit - it omits information. Filling this information gap requires contextual inference, background- and commonsense knowledge, and reasoning over situational context. Language also…

CORA4NLP

EUC PT


EU Council Presidency Translator

Language is an essential part of our lives – we use it to share information, to describe our feelings, to discuss with others or to pass on knowledge to the next generations. It is a vital component…

EUC PT

DEEPLEE


Tiefes Lernen für End-to-End-Anwendungen in der Sprachtechnologie

The research work in DEEPLEE, which is carried out in the Language Technology research departments in Saabrücken and Berlin, builds on DFKI's expertise in the areas of "deep learning" (DL) and…

DEEPLEE

QT21


QT21: Quality Translation 21

A European Digital Single Market free of barriers, including language barriers, is a stated EU objective to be achieved by 2020. The findings of the META-NET Language White Papers show that currently…

QT21

INTERACT


Interactive Manual Assembly Operations for the Human-Centered Workplaces of the Future

In order to be competitive in a global scale, European factories should be operated by a highly skilled workforce supported by advanced automation and IT tools. INTERACT aims to utilize workers'; …

INTERACT

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz