@inproceedings{prabhakaran-etal-2023-distinguishing,
title = "Distinguishing Address vs. Reference Mentions of Personal Names in Text",
author = "Prabhakaran, Vinodkumar and
Mostafazadeh Davani, Aida and
Ferguson, Melissa and
Atir, Stav",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.425/",
doi = "10.18653/v1/2023.findings-acl.425",
pages = "6801--6809",
abstract = "Detecting named entities in text has long been a core NLP task. However, not much work has gone into distinguishing whether an entity mention is addressing the entity vs. referring to the entity; e.g., \textit{John, would you turn the light off?} vs. \textit{John turned the light off}. While this distinction is marked by a \textit{vocative case} marker in some languages, many modern Indo-European languages such as English do not use such explicit vocative markers, and the distinction is left to be interpreted in context. In this paper, we present a new annotated dataset that captures the \textit{address} vs. \textit{reference} distinction in English, an automatic tagger that performs at 85{\%} accuracy in making this distinction, and demonstrate how this distinction is important in NLP and computational social science applications in English language."
}
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<abstract>Detecting named entities in text has long been a core NLP task. However, not much work has gone into distinguishing whether an entity mention is addressing the entity vs. referring to the entity; e.g., John, would you turn the light off? vs. John turned the light off. While this distinction is marked by a vocative case marker in some languages, many modern Indo-European languages such as English do not use such explicit vocative markers, and the distinction is left to be interpreted in context. In this paper, we present a new annotated dataset that captures the address vs. reference distinction in English, an automatic tagger that performs at 85% accuracy in making this distinction, and demonstrate how this distinction is important in NLP and computational social science applications in English language.</abstract>
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%0 Conference Proceedings
%T Distinguishing Address vs. Reference Mentions of Personal Names in Text
%A Prabhakaran, Vinodkumar
%A Mostafazadeh Davani, Aida
%A Ferguson, Melissa
%A Atir, Stav
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F prabhakaran-etal-2023-distinguishing
%X Detecting named entities in text has long been a core NLP task. However, not much work has gone into distinguishing whether an entity mention is addressing the entity vs. referring to the entity; e.g., John, would you turn the light off? vs. John turned the light off. While this distinction is marked by a vocative case marker in some languages, many modern Indo-European languages such as English do not use such explicit vocative markers, and the distinction is left to be interpreted in context. In this paper, we present a new annotated dataset that captures the address vs. reference distinction in English, an automatic tagger that performs at 85% accuracy in making this distinction, and demonstrate how this distinction is important in NLP and computational social science applications in English language.
%R 10.18653/v1/2023.findings-acl.425
%U https://aclanthology.org/2023.findings-acl.425/
%U https://doi.org/10.18653/v1/2023.findings-acl.425
%P 6801-6809
Markdown (Informal)
[Distinguishing Address vs. Reference Mentions of Personal Names in Text](https://aclanthology.org/2023.findings-acl.425/) (Prabhakaran et al., Findings 2023)
ACL