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Conference Papers Year : 2017

Named Entity Similarity Computation: The Case of Social Event Entities

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Abstract

We consider events as complex named entities, recursively consisting of simple named entities (people, places, organizations, dates, etc.) and/or other complex named entities. We have developed a processing chain dedicated to extracting, indexing and searching for social events in Web pages. In this context, we are proposing a generic similarity computation function that targets any type of complex named entity. In this paper, we implement this function according to three approaches which we shall describe and then experiment on a set of social events. \textcopyright 2017 Association for Computing Machinery.
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hal-01912335 , version 1 (05-11-2018)

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Armel Fotsoh, Christian Sallaberry, Annig Le Parc-Lacayrelle. Named Entity Similarity Computation: The Case of Social Event Entities. Proceedings of the 11th Workshop on Geographic Information Retrieval, GIR 2017, Heidelberg, Germany, November 30 - December 01, 2017, Nov 2017, Heidelberg, Germany. pp.9:1-9:8, ⟨10.1145/3155902.3155903⟩. ⟨hal-01912335⟩

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