@inproceedings{gari-soler-etal-2022-one,
title = "One Word, Two Sides: Traces of Stance in Contextualized Word Representations",
author = "Gar{\'\i} Soler, Aina and
Labeau, Matthieu and
Clavel, Chlo{\'e}",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.347",
pages = "3950--3959",
abstract = "The way we use words is influenced by our opinion. We investigate whether this is reflected in contextualized word embeddings. For example, is the representation of {``}animal{''} different between people who would abolish zoos and those who would not? We explore this question from a Lexical Semantic Change standpoint. Our experiments with BERT embeddings derived from datasets with stance annotations reveal small but significant differences in word representations between opposing stances.",
}
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<abstract>The way we use words is influenced by our opinion. We investigate whether this is reflected in contextualized word embeddings. For example, is the representation of “animal” different between people who would abolish zoos and those who would not? We explore this question from a Lexical Semantic Change standpoint. Our experiments with BERT embeddings derived from datasets with stance annotations reveal small but significant differences in word representations between opposing stances.</abstract>
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%0 Conference Proceedings
%T One Word, Two Sides: Traces of Stance in Contextualized Word Representations
%A Garí Soler, Aina
%A Labeau, Matthieu
%A Clavel, Chloé
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F gari-soler-etal-2022-one
%X The way we use words is influenced by our opinion. We investigate whether this is reflected in contextualized word embeddings. For example, is the representation of “animal” different between people who would abolish zoos and those who would not? We explore this question from a Lexical Semantic Change standpoint. Our experiments with BERT embeddings derived from datasets with stance annotations reveal small but significant differences in word representations between opposing stances.
%U https://aclanthology.org/2022.coling-1.347
%P 3950-3959
Markdown (Informal)
[One Word, Two Sides: Traces of Stance in Contextualized Word Representations](https://aclanthology.org/2022.coling-1.347) (Garí Soler et al., COLING 2022)
ACL