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        <title>Dimensions of Interpersonal Relationships: Corpus and Experiments</title>
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    <abstract>This paper presents a corpus and experiments to determine dimensions of interpersonal relationships. We define a set of dimensions heavily inspired by work in social science. We create a corpus by retrieving pairs of people, and then annotating dimensions for their relationships. A corpus analysis shows that dimensions can be annotated reliably. Experimental results show that given a pair of people, values to dimensions can be assigned automatically.</abstract>
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    <identifier type="doi">10.18653/v1/D17-1244</identifier>
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%0 Conference Proceedings
%T Dimensions of Interpersonal Relationships: Corpus and Experiments
%A Rashid, Farzana
%A Blanco, Eduardo
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F rashid-blanco-2017-dimensions
%X This paper presents a corpus and experiments to determine dimensions of interpersonal relationships. We define a set of dimensions heavily inspired by work in social science. We create a corpus by retrieving pairs of people, and then annotating dimensions for their relationships. A corpus analysis shows that dimensions can be annotated reliably. Experimental results show that given a pair of people, values to dimensions can be assigned automatically.
%R 10.18653/v1/D17-1244
%U https://aclanthology.org/D17-1244
%U https://doi.org/10.18653/v1/D17-1244
%P 2307-2316

Markdown (Informal)

[Dimensions of Interpersonal Relationships: Corpus and Experiments](https://aclanthology.org/D17-1244) (Rashid & Blanco, EMNLP 2017)

• Dimensions of Interpersonal Relationships: Corpus and Experiments (Rashid & Blanco, EMNLP 2017)

ACL

• Farzana Rashid and Eduardo Blanco. 2017. Dimensions of Interpersonal Relationships: Corpus and Experiments. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 2307–2316, Copenhagen, Denmark. Association for Computational Linguistics.