@article{gutierrez-etal-2016-detecting,
title = "Detecting Cross-Cultural Differences Using a Multilingual Topic Model",
author = "Guti{\'e}rrez, E.D. and
Shutova, Ekaterina and
Lichtenstein, Patricia and
de Melo, Gerard and
Gilardi, Luca",
editor = "Lee, Lillian and
Johnson, Mark and
Toutanova, Kristina",
journal = "Transactions of the Association for Computational Linguistics",
volume = "4",
year = "2016",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q16-1004",
doi = "10.1162/tacl_a_00082",
pages = "47--60",
abstract = "Understanding cross-cultural differences has important implications for world affairs and many aspects of the life of society. Yet, the majority of text-mining methods to date focus on the analysis of monolingual texts. In contrast, we present a statistical model that simultaneously learns a set of common topics from multilingual, non-parallel data and automatically discovers the differences in perspectives on these topics across linguistic communities. We perform a behavioural evaluation of a subset of the differences identified by our model in English and Spanish to investigate their psychological validity.",
}
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%0 Journal Article
%T Detecting Cross-Cultural Differences Using a Multilingual Topic Model
%A Gutiérrez, E. D.
%A Shutova, Ekaterina
%A Lichtenstein, Patricia
%A de Melo, Gerard
%A Gilardi, Luca
%J Transactions of the Association for Computational Linguistics
%D 2016
%V 4
%I MIT Press
%C Cambridge, MA
%F gutierrez-etal-2016-detecting
%X Understanding cross-cultural differences has important implications for world affairs and many aspects of the life of society. Yet, the majority of text-mining methods to date focus on the analysis of monolingual texts. In contrast, we present a statistical model that simultaneously learns a set of common topics from multilingual, non-parallel data and automatically discovers the differences in perspectives on these topics across linguistic communities. We perform a behavioural evaluation of a subset of the differences identified by our model in English and Spanish to investigate their psychological validity.
%R 10.1162/tacl_a_00082
%U https://aclanthology.org/Q16-1004
%U https://doi.org/10.1162/tacl_a_00082
%P 47-60
Markdown (Informal)
[Detecting Cross-Cultural Differences Using a Multilingual Topic Model](https://aclanthology.org/Q16-1004) (Gutiérrez et al., TACL 2016)
ACL