Institute

Studying

Research


 

Max Kisselew

Mister  Dipl.-Ling.
Max Kisselew
PhD student

Max Kisselew
Phone 0049 711 685-81353
Room2.024
E-Mail
Address
University of Stuttgart
Institut für Maschinelle Sprachverarbeitung
Pfaffenwaldring 5b
70569 Stuttgart
Germany

Consultation

By appointment.

Research

I am working in the project B9 of the SFB 732 as a PhD student. My research revolves around the questions how and to what extent morphological derivation can be modeled and investigated using methods from Distributional Semantics. Earlier I tried to examine to what extent morphological knowledge can help to improve translation results of SMT (Statistical Machine Translation) systems. There, I focused mainly on translation from French to English. My translation system for the WMT 2013 Translation Task took 6 place (of 14) with a BLEU score of 30.0.

Further research interests:

  • Metaphor detection in written texts
  • Cross-lingual methods
  • Cognitive Linguistics
  • Language change und historical linguistics
Teaching

WS 2016/2017

WS 2015/2016

WS 2014/2015

    • Linux Basics
    • Programmierkurs / Programming Course

SS 2014

    • Programmierkurs / Programming Course

WS 2013/2014

    • Linux Basics

SS 2013

    • Programmierkurs

WS 2012/2013

    • Information Retrieval (Übungen)

SS 2012

    • Python-Kurs

SS 2011

    • Python-Kurs

WS 2009/2010

    • Übungen zu PSE (Programmierung und Softwareentwicklung)

SS 2009

    • ColiBrI (Schwerpunkt Programmieren)

WS 2008/2009

    • ColiBrI (Zusatztutorium für Computerlinguisten mit Schwerpunkt Informatik)
Publications

2016

  • Sebastian Padó, Aurélie Herbelot, Max Kisselew, Jan Šnajder (2016): Predictability of Distributional Semantics in Derivational Word Formation. In: Proceedings of COLING 2016. Osaka, Japan. (To appear)
  • Tillmann Pross, Antje Roßdeutscher, Sebastian Padó, Gabriella Lapesa, and Max Kisselew (2016): 'Over reference': a comparative study on German prefix-verbs. In ESSLLI RemRefPlus Workshop: Referential Semantics One Step Further: Incorporating Insights from Conceptual and Distributional Approaches to Meaning. Bolzano, Italy.
    [Abstract]
  • Gabriella Lapesa, Max Kisselew, Sebastian Padó, Tillmann Pross, Antje Roßdeutscher (2016): Characterizing the pragmatic component of distributional vectors in terms of polarity: Experiments on German über verbs. In ESSLLI DSALT Workshop: Distributional Semantics and Linguistic Theory. Bolzano, Italy.
    [Abstract]
  • Maximilian Köper, Sabine Schulte im Walde, Max Kisselew, and Sebastian Padó (2016): Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling. In Proceedings of STARSEM. Berlin, Germany.
    [Paper]
  • Max Kisselew, Laura Rimell, Alexis Palmer, and Sebastian Padó (2016): Predicting the Direction of Derivation in English Conversion. In Proceedings of the ACL SIGMORPHON workshop. Berlin, Germany.
    [Paper] [Poster]

 

2015

  • Kisselew, M., Padó, S., Palmer A., and Šnajder J. (2015): Obtaining a Better Understanding of Distributional Models of German Derivational Morphology. In Proceedings of the 11th International Conference on Computational Semantics (IWCS), pages 58-63. London, UK.
    [Paper] [bib]
  • Padó, S., Palmer, A., Kisselew, M., and Šnajder, J. (2015):
    Measuring Semantic Content to Assess Asymmetry in Derivation (extended abstract). Advances in Distributional Semantics workshop at IWCS 2015, London, UK.
    [Abstract] [Poster]

 

Before 2015

Student theses

Curriculum Vitae

    Since October 2012

    Research Assistant

    Institute for Natural Language Processing
    University of Stuttgart

    October 2007 - September 2012

    Studies in Computational Linguistics (major) and
    Linguistics (minor)

    University of Stuttgart

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