@inproceedings{deleris-etal-2018-know,
title = "Know Who Your {F}riends Are: Understanding Social Connections from Unstructured Text",
author = "Deleris, L{\'e}a and
Bonin, Francesca and
Daly, Elizabeth and
Deparis, St{\'e}phane and
Hou, Yufang and
Jochim, Charles and
Lassoued, Yassine and
Levacher, Killian",
editor = "Liu, Yang and
Paek, Tim and
Patwardhan, Manasi",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Demonstrations",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-5016",
doi = "10.18653/v1/N18-5016",
pages = "76--80",
abstract = "Having an understanding of interpersonal relationships is helpful in many contexts. Our system seeks to assist humans with that task, using textual information (e.g., case notes, speech transcripts, posts, books) as input. Specifically, our system first extracts qualitative and quantitative information elements (which we call signals) about interactions among persons, aggregates those to provide a condensed view of relationships and then enables users to explore all facets of the resulting social (multi-)graph through a visual interface.",
}
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<abstract>Having an understanding of interpersonal relationships is helpful in many contexts. Our system seeks to assist humans with that task, using textual information (e.g., case notes, speech transcripts, posts, books) as input. Specifically, our system first extracts qualitative and quantitative information elements (which we call signals) about interactions among persons, aggregates those to provide a condensed view of relationships and then enables users to explore all facets of the resulting social (multi-)graph through a visual interface.</abstract>
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%0 Conference Proceedings
%T Know Who Your Friends Are: Understanding Social Connections from Unstructured Text
%A Deleris, Léa
%A Bonin, Francesca
%A Daly, Elizabeth
%A Deparis, Stéphane
%A Hou, Yufang
%A Jochim, Charles
%A Lassoued, Yassine
%A Levacher, Killian
%Y Liu, Yang
%Y Paek, Tim
%Y Patwardhan, Manasi
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F deleris-etal-2018-know
%X Having an understanding of interpersonal relationships is helpful in many contexts. Our system seeks to assist humans with that task, using textual information (e.g., case notes, speech transcripts, posts, books) as input. Specifically, our system first extracts qualitative and quantitative information elements (which we call signals) about interactions among persons, aggregates those to provide a condensed view of relationships and then enables users to explore all facets of the resulting social (multi-)graph through a visual interface.
%R 10.18653/v1/N18-5016
%U https://aclanthology.org/N18-5016
%U https://doi.org/10.18653/v1/N18-5016
%P 76-80
Markdown (Informal)
[Know Who Your Friends Are: Understanding Social Connections from Unstructured Text](https://aclanthology.org/N18-5016) (Deleris et al., NAACL 2018)
ACL
- Léa Deleris, Francesca Bonin, Elizabeth Daly, Stéphane Deparis, Yufang Hou, Charles Jochim, Yassine Lassoued, and Killian Levacher. 2018. Know Who Your Friends Are: Understanding Social Connections from Unstructured Text. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 76–80, New Orleans, Louisiana. Association for Computational Linguistics.