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        <title>Huntsville, hospitals, and hockey teams: Names can reveal your location</title>
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            <title>Proceedings of the 3rd Workshop on Noisy User-generated Text</title>
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            <namePart type="given">Leon</namePart>
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            <namePart type="given">Alan</namePart>
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    <abstract>Geolocation is the task of identifying a social media user’s primary location, and in natural language processing, there is a growing literature on to what extent automated analysis of social media posts can help. However, not all content features are equally revealing of a user’s location. In this paper, we evaluate nine name entity (NE) types. Using various metrics, we find that GEO-LOC, FACILITY and SPORT-TEAM are more informative for geolocation than other NE types. Using these types, we improve geolocation accuracy and reduce distance error over various famous text-based methods.</abstract>
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%0 Conference Proceedings
%T Huntsville, hospitals, and hockey teams: Names can reveal your location
%A Salehi, Bahar
%A Hovy, Dirk
%A Hovy, Eduard
%A Søgaard, Anders
%Y Derczynski, Leon
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%S Proceedings of the 3rd Workshop on Noisy User-generated Text
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F salehi-etal-2017-huntsville
%X Geolocation is the task of identifying a social media user’s primary location, and in natural language processing, there is a growing literature on to what extent automated analysis of social media posts can help. However, not all content features are equally revealing of a user’s location. In this paper, we evaluate nine name entity (NE) types. Using various metrics, we find that GEO-LOC, FACILITY and SPORT-TEAM are more informative for geolocation than other NE types. Using these types, we improve geolocation accuracy and reduce distance error over various famous text-based methods.
%R 10.18653/v1/W17-4415
%U https://aclanthology.org/W17-4415
%U https://doi.org/10.18653/v1/W17-4415
%P 116-121

Markdown (Informal)

[Huntsville, hospitals, and hockey teams: Names can reveal your location](https://aclanthology.org/W17-4415) (Salehi et al., WNUT 2017)

• Huntsville, hospitals, and hockey teams: Names can reveal your location (Salehi et al., WNUT 2017)

ACL

• Bahar Salehi, Dirk Hovy, Eduard Hovy, and Anders Søgaard. 2017. Huntsville, hospitals, and hockey teams: Names can reveal your location. In Proceedings of the 3rd Workshop on Noisy User-generated Text, pages 116–121, Copenhagen, Denmark. Association for Computational Linguistics.