@inproceedings{pavalanathan-etal-2017-multidimensional,
title = "A Multidimensional Lexicon for Interpersonal Stancetaking",
author = "Pavalanathan, Umashanthi and
Fitzpatrick, Jim and
Kiesling, Scott and
Eisenstein, Jacob",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-1082",
doi = "10.18653/v1/P17-1082",
pages = "884--895",
abstract = "The sociolinguistic construct of stancetaking describes the activities through which discourse participants create and signal relationships to their interlocutors, to the topic of discussion, and to the talk itself. Stancetaking underlies a wide range of interactional phenomena, relating to formality, politeness, affect, and subjectivity. We present a computational approach to stancetaking, in which we build a theoretically-motivated lexicon of stance markers, and then use multidimensional analysis to identify a set of underlying stance dimensions. We validate these dimensions intrinscially and extrinsically, showing that they are internally coherent, match pre-registered hypotheses, and correlate with social phenomena.",
}
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%0 Conference Proceedings
%T A Multidimensional Lexicon for Interpersonal Stancetaking
%A Pavalanathan, Umashanthi
%A Fitzpatrick, Jim
%A Kiesling, Scott
%A Eisenstein, Jacob
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F pavalanathan-etal-2017-multidimensional
%X The sociolinguistic construct of stancetaking describes the activities through which discourse participants create and signal relationships to their interlocutors, to the topic of discussion, and to the talk itself. Stancetaking underlies a wide range of interactional phenomena, relating to formality, politeness, affect, and subjectivity. We present a computational approach to stancetaking, in which we build a theoretically-motivated lexicon of stance markers, and then use multidimensional analysis to identify a set of underlying stance dimensions. We validate these dimensions intrinscially and extrinsically, showing that they are internally coherent, match pre-registered hypotheses, and correlate with social phenomena.
%R 10.18653/v1/P17-1082
%U https://aclanthology.org/P17-1082
%U https://doi.org/10.18653/v1/P17-1082
%P 884-895
Markdown (Informal)
[A Multidimensional Lexicon for Interpersonal Stancetaking](https://aclanthology.org/P17-1082) (Pavalanathan et al., ACL 2017)
ACL
- Umashanthi Pavalanathan, Jim Fitzpatrick, Scott Kiesling, and Jacob Eisenstein. 2017. A Multidimensional Lexicon for Interpersonal Stancetaking. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 884–895, Vancouver, Canada. Association for Computational Linguistics.