Spatial Information Extraction from Short Messages - Université de Lille
Article Dans Une Revue Expert Systems with Applications Année : 2018

Spatial Information Extraction from Short Messages

Résumé

'Proposition of original methods for Spatial Entity/Relation extraction.'Extraction of new variations of spatial entities from SMS and tweets.'Extraction of new spatial relations, and new variations of spatial relations.'Our method achieved an F-measure score of 0.84 and 0.86 for SMS and tweets.'Our method outperforms the state-of-the-art tools (i.e. Polyglot, Stanford NER).

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Dates et versions

hal-01706936 , version 1 (12-02-2018)

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Sarah Zenasni, Eric Kergosien, Mathieu Roche, Maguelonne Teisseire. Spatial Information Extraction from Short Messages. Expert Systems with Applications, 2018, 95, pp.351 - 367. ⟨10.1016/j.eswa.2017.11.025⟩. ⟨hal-01706936⟩
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