S. Padó, and J. Utt. Proceedings of the KONVENS workshop on recent developments and applications of lexical-semantic resources, Vienna, Austria, (2012)
Abstract
This paper describes the creation of a Distri- butional Memory (Baroni and Lenci 2010) resource for German. Distributional Mem- ory is a generalized distributional resource for lexical semantics that does not have to commit to a particular vector space at the time of creation. We induce a resource from a German corpus, following the original de- sign decisions as closely as possible, and discuss the steps necessary for a new lan- guage. We evaluate the German DM model on a synonym selection task, finding that it can compete with existing models.
%0 Conference Paper
%1 utt12:_distr_memor_german
%A Padó, Sebastian
%A Utt, Jason
%B Proceedings of the KONVENS workshop on recent developments and applications of lexical-semantic resources
%C Vienna, Austria
%D 2012
%K myown workshop
%T A Distributional Memory for German
%U http://www.oegai.at/konvens2012/proceedings/67_pado12w/67_pado12w.pdf
%X This paper describes the creation of a Distri- butional Memory (Baroni and Lenci 2010) resource for German. Distributional Mem- ory is a generalized distributional resource for lexical semantics that does not have to commit to a particular vector space at the time of creation. We induce a resource from a German corpus, following the original de- sign decisions as closely as possible, and discuss the steps necessary for a new lan- guage. We evaluate the German DM model on a synonym selection task, finding that it can compete with existing models.
@inproceedings{utt12:_distr_memor_german,
abstract = {This paper describes the creation of a Distri- butional Memory (Baroni and Lenci 2010) resource for German. Distributional Mem- ory is a generalized distributional resource for lexical semantics that does not have to commit to a particular vector space at the time of creation. We induce a resource from a German corpus, following the original de- sign decisions as closely as possible, and discuss the steps necessary for a new lan- guage. We evaluate the German DM model on a synonym selection task, finding that it can compete with existing models.},
added-at = {2017-04-03T19:29:52.000+0200},
address = {Vienna, Austria},
author = {Padó, Sebastian and Utt, Jason},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2fc8199547513546d3c526581c9e9db14/sp},
booktitle = {Proceedings of the KONVENS workshop on recent developments and applications of lexical-semantic resources},
interhash = {c0cf73a69813faceb21e250485e89236},
intrahash = {fc8199547513546d3c526581c9e9db14},
keywords = {myown workshop},
timestamp = {2017-04-03T17:30:49.000+0200},
title = {A Distributional Memory for {G}erman},
url = {http://www.oegai.at/konvens2012/proceedings/67_pado12w/67_pado12w.pdf},
year = 2012
}
