Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds

Sabine Schulte im Walde, Stefan Müller, Stefan Roller


Anthology ID:
S13-1038
Volume:
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Month:
June
Year:
2013
Address:
Atlanta, Georgia, USA
Editors:
Mona Diab, Tim Baldwin, Marco Baroni
Venue:
*SEM
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
255–265
Language:
URL:
https://aclanthology.org/S13-1038
DOI:
Bibkey:
Cite (ACL):
Sabine Schulte im Walde, Stefan Müller, and Stefan Roller. 2013. Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity, pages 255–265, Atlanta, Georgia, USA. Association for Computational Linguistics.
Cite (Informal):
Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds (Schulte im Walde et al., *SEM 2013)
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PDF:
https://aclanthology.org/S13-1038.pdf