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Towards Spatial Word Embeddings

Mousset, Paul and Pitarch, Yoann and Tamine-Lechani, Lynda Towards Spatial Word Embeddings. (2019) In: 41st European Conference on Information Retrieval (ECIR 2019), 14 April 2019 - 18 April 2019 (Cologne, Germany).

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Official URL: https://doi.org/10.1007/978-3-030-15719-7_7

Abstract

Leveraging textual and spatial data provided in spatio-textual objects (eg., tweets), has become increasingly important in real-world applications, favoured by the increasing rate of their availability these last decades (eg., through smartphones). In this paper, we propose a spatial retrofitting method of word embeddings that could reveal the localised similarity of word pairs as well as the diversity of their localised meanings. Experiments based on the semantic location prediction task show that our method achieves significant improvement over strong baselines.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 11438 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-030-15718-0 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-030-15719-7_7
HAL Id:hal-02494099
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Atos (FRANCE)
Laboratory name:
Funders:
ANRT : Association Nationale de la Recherche et de la Technologie (France) - CIFRE : Conventions Industrielles de Formation par la REcherche (France)
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Deposited On:20 Feb 2020 15:12

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