The Language of Place: Semantic Value from Geospatial Context

Anne Cocos, Chris Callison-Burch


Abstract
There is a relationship between what we say and where we say it. Word embeddings are usually trained assuming that semantically-similar words occur within the same textual contexts. We investigate the extent to which semantically-similar words occur within the same geospatial contexts. We enrich a corpus of geolocated Twitter posts with physical data derived from Google Places and OpenStreetMap, and train word embeddings using the resulting geospatial contexts. Intrinsic evaluation of the resulting vectors shows that geographic context alone does provide useful information about semantic relatedness.
Anthology ID:
E17-2016
Volume:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Month:
April
Year:
2017
Address:
Valencia, Spain
Editors:
Mirella Lapata, Phil Blunsom, Alexander Koller
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
99–104
Language:
URL:
https://aclanthology.org/E17-2016
DOI:
Bibkey:
Cite (ACL):
Anne Cocos and Chris Callison-Burch. 2017. The Language of Place: Semantic Value from Geospatial Context. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 99–104, Valencia, Spain. Association for Computational Linguistics.
Cite (Informal):
The Language of Place: Semantic Value from Geospatial Context (Cocos & Callison-Burch, EACL 2017)
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PDF:
https://aclanthology.org/E17-2016.pdf