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Matching Words and Knowledge Graph Entities with Meta-Embeddings

Sileo, Damien and Pradel, Camille and Echegoyen, Guillermo and Peña, Anselmo and Otegi, Arantxa and Deriu, Jan and Cieliebak, Mark and Barrena, Ander and Agirre, Eneko Matching Words and Knowledge Graph Entities with Meta-Embeddings. (2019) In: 21e Conference francophone sur l'Apprentissage automatique (CAp 2019), Plate-Forme Intelligence Artificielle (PFIA 2019), 3 July 2019 - 5 July 2019 (Toulouse, France).

(Document in English)

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Official URL: http://ixa.si.ehu.eus/node/12902


Word vector are a key comp onent for matching distinct textual units semantically. However, they are not directly applicable for matching text with tructured data, for whi ch graph embeddings exist. In this work, we propose a flexible method in order to map the representation of graph embedding to word embeddings representation. Thus, we can improve word embeddings with a weighted average with mapped graph embeddings.We evaluate our models on the task of matching natural language questions and SPARQL queries, and significantly improve queries matching accuracy. We also evaluate word meta-embeddings intrinsically and show improvements over previous models.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02890360
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 > Synapse Développement (FRANCE)
Other partners > Universidad Nacional de Educación a Distancia - UNED (SPAIN)
Other partners > University of the Basque Country - UPV/EHU (SPAIN)
Other partners > Zürich University of Applied Sciences - ZHAW (SWITZERLAND)
Laboratory name:
Deposited On:03 Jul 2020 14:49

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