Modeling Derivational Morphology in Ukrainian

no code implementations • WS 2017 • Mariia Melymuka, Gabriella Lapesa, Max Kisselew, Sebastian Pad{\'o}

GhoSt-PV: A Representative Gold Standard of German Particle Verbs

no code implementations • WS 2016 • Stefan Bott, Nana Khvtisavrishvili, Max Kisselew, Sabine Schulte im Walde

German particle verbs represent a frequent type of multi-word-expression that forms a highly productive paradigm in the lexicon.

Predictability of Distributional Semantics in Derivational Word Formation

no code implementations • COLING 2016 • Sebastian Pad{\'o}, Aur{\'e}lie Herbelot, Max Kisselew, Jan {\v{S}}najder

Compositional distributional semantic models (CDSMs) have successfully been applied to the task of predicting the meaning of a range of linguistic constructions.

Machine Translation regression +2

Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling

no code implementations • SEMEVAL 2016 • Maximilian K{\"o}per, Sabine Schulte im Walde, Max Kisselew, Sebastian Pad{\'o}

Zero-Shot Learning

Predicting the Direction of Derivation in English Conversion

no code implementations • WS 2016 • Max Kisselew, Laura Rimell, Alexis Palmer, Sebastian Pad{\'o}

Obtaining a Better Understanding of Distributional Models of German Derivational Morphology

no code implementations • WS 2015 • Max Kisselew, Sebastian Pad{\'o}, Alexis Palmer, Jan {\v{S}}najder

Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT

no code implementations • WS 2013 • Marion Weller, Max Kisselew, Svetlana Smekalova, Alex Fraser, er, Helmut Schmid, Nadir Durrani, Hassan Sajjad, Rich{\'a}rd Farkas

Morphological Analysis Transliteration +1

French and German Corpora for Audience-based Text Type Classification

no code implementations • LREC 2012 • Amalia Todirascu, Sebastian Pad{\'o}, Jennifer Krisch, Max Kisselew, Ulrich Heid

This paper presents some of the results of the CLASSYN project which investigated the classification of text according to audience-related text types.

Dependency Parsing General Classification +3