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Prof. Dr. Hans Uszkoreit

Publications

Vivien Macketanz; Eleftherios Avramidis; Aljoscha Burchardt; He Wang; Renlong Ai; Shushen Manakhimova; Ursula Strohriegel; Sebastian Möller; Hans Uszkoreit

In: Proceedings of the Language Resources and Evaluation Conference. International Conference on Language Resources and Evaluation (LREC), Marseille, France, Pages 936-947, European Language Resources Association, 6/2022.

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Leonhard Hennig; Hans Uszkoreit

In: Börteçin Ege; Adrian Paschke. Semantische Datenintelligenz im Einsatz. Pages 87-126, ISBN 978-3-658-31938-0, Springer Vieweg, 2021.

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Eleftherios Avramidis; Vivien Macketanz; Ursula Strohriegel; Hans Uszkoreit

In: Proceedings of the Fourth Conference on Machine Translation. Conference on Machine Translation (WMT-2019), August 1-2, Florence, Italy, Association for Computational Linguistics, 8/2019.

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Profile

Short biography

Hans Uszkoreit is Scientific Director at the German Research Center for Artificial Intelligence (DFKI) in Berlin, where he is currently coordinating cooperation activities. He is also Founder and Chief Scientist of GIANCE, a DFKI spin-off company. Uszkoreit studied linguistics and computer science at Technical University of Berlin before entering the graduate school of the University of Texas at Austin, from which he received his PhD in 1984. He worked as AI/NLP researcher and project leader at Stanford University, SRI International and IBM Germany. In 1988 he became Full Professor at  Saarland University where he taught Computational Linguistics and Computer Science. Also in 1988, when DFKI was founded, Uszkoreit started the Language Technology Lab of DFKI, which he lead as Scientific Director until 2017. From 2007 till 2017 he built up and lead the Berlin research site of DFKI.
Uszkoreit is Member of the European Academy of Sciences, former Honorary Professor of Technical University Berlin, Permanent Member of the International Committee of Computational Linguistics (ICCL) and Past President of the Association of Logic, Language and Information. He has coordinated many national and international confederated projects and an international master program in language and communication technologies. For his work on language understanding, he received two Google Research Awards.
Uszkoreit has co-founded several AI companies. He has also served as advisor for small and large corporations. His main research interests in AI are methods and applications of language and knowledge technologies and AI applications for enterprises. His research is documented in more than 250 international publications.

  • SDW

    Smart Data Web

    The goal of "Smart Data Web" is to to provide a bridge between publicly available information on the web and the internal information worlds of companies. For businesses it is important to be promptly…

    SDW
  • ALL-SIDES

    ALL-SIDES: Advanced Large-Scale Language Analysis for Social Intelligence Deliberation Support

    Finally some advanced language technologies have become mature enough to enable considerable progress in an application area of networked IT that will be crucial for speeding up the evolution of…

    ALL-SIDES
  • QTLeap

    Quality Translation by Deep Language Engineering Approaches

    In theory, machine translation (MT) should work especially well on a deep (semantic) level of language processing, where one would expect to be much less confronted with differences between languages…

    QTLeap
  • QTLaunchPad

    Preparation and Launch of a Large-Scale Action for Quality Translation Technology

    Quality translation of text into other languages is in higher demand today than ever before. Europe is the region where the lack of fast, affordable quality translation hurts the most. Despite…

    QTLaunchPad
  • Deependance

    Deep Dependency-Oriented Analysis with Non-Discrete Constraints

    The aim of this project is to improve existing methodology for generic deep linguistic analysis, i.e. the syntactic and semantic analysis needed for many language technology applications. A dependency…

    Deependance
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