SSiW


Compositionality Ratings

Compositionality ratings are human ratings on the degree of compositionality of compounds. There are two basic versions of compositionality ratings:

We have collected several datasets of compositionality ratings for German compounds. See here on how to obtain the data.


Compositionality Ratings for German Noun Compounds


References:

Sabine Schulte im Walde, Anna Hätty, Stefan Bott, Nana Khvtisavrishvili (2016)
Ghost-NN: A Representative Gold Standard of German Noun-Noun Compounds
In: Proceedings of the 10th Conference on Language Resources and Evaluation (LREC). Portoroz, Slovenia.

Sabine Schulte im Walde, Stefan Müller, Stephen Roller (2013)
Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
In: Proceedings of the 2nd Joint Conference on Lexical and Computational Semantics (*SEM). Atlanta, GA.

Claudia von der Heide, Susanne Borgwaldt (2009)
Assoziationen zu Unter-, Basis- und Oberbegriffen. Eine explorative Studie (in German)
In: Proceedings of the 9th Norddeutsches Linguistisches Kolloquium.



Compositionality Ratings for German Particle Verbs

Over the years, we developed two gold standards with compositionality ratings for German particle verbs (PVs). Each of them contains PVs across different particles and was annotated by humans for the degree of compositionality.


References:

Stefan Bott, Nana Khvtisavrishvili, Max Kisselew, Sabine Schulte im Walde (2016)
Ghost-PV: A Representative Gold Standard of German Particle Verbs
In: Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex). Osaka, Japan.

Stefan Bott, Sabine Schulte im Walde (2015)
Exploiting Fine-grained Syntactic Transfer Features to Predict the Compositionality of German Particle Verbs
In: Proceedings of the 11th Conference on Computational Semantics (IWCS). London, UK.

Silvana Hartmann (2008)
Einfluss syntaktischer und semantischer Subkategorisierung auf die Kompositionalität von Partikelverben (in German)
Studienarbeit, Institut für Maschinelle Sprachverarbeitung, Universität Stuttgart.