@inproceedings{lapesa-evert-2017-large,
title = "Large-scale evaluation of dependency-based {DSM}s: Are they worth the effort?",
author = "Lapesa, Gabriella and
Evert, Stefan",
editor = "Lapata, Mirella and
Blunsom, Phil and
Koller, Alexander",
booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/E17-2063",
pages = "394--400",
abstract = "This paper presents a large-scale evaluation study of dependency-based distributional semantic models. We evaluate dependency-filtered and dependency-structured DSMs in a number of standard semantic similarity tasks, systematically exploring their parameter space in order to give them a {``}fair shot{''} against window-based models. Our results show that properly tuned window-based DSMs still outperform the dependency-based models in most tasks. There appears to be little need for the language-dependent resources and computational cost associated with syntactic analysis.",
}
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%0 Conference Proceedings
%T Large-scale evaluation of dependency-based DSMs: Are they worth the effort?
%A Lapesa, Gabriella
%A Evert, Stefan
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F lapesa-evert-2017-large
%X This paper presents a large-scale evaluation study of dependency-based distributional semantic models. We evaluate dependency-filtered and dependency-structured DSMs in a number of standard semantic similarity tasks, systematically exploring their parameter space in order to give them a “fair shot” against window-based models. Our results show that properly tuned window-based DSMs still outperform the dependency-based models in most tasks. There appears to be little need for the language-dependent resources and computational cost associated with syntactic analysis.
%U https://aclanthology.org/E17-2063
%P 394-400
Markdown (Informal)
[Large-scale evaluation of dependency-based DSMs: Are they worth the effort?](https://aclanthology.org/E17-2063) (Lapesa & Evert, EACL 2017)
ACL