Everest
https://everest.hds.utc.fr/
2024-03-19T12:35:31+01:00Everest
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Project: Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Abstract: This paper tackles the problem of endogenous link prediction for Knowledge Base completion. Knowledge Bases can be represented as directed graphs whose nodes correspond to entities and edges to relationships. Previous attempts either consist of powerful systems with high capacity to model complex connectivity patterns, which unfortunately usually end up overfitting on rare relationships, or i…text/html2015-06-29T16:32:59+01:00bordesanen:family.tgz - created
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text/html2015-06-05T21:46:36+01:00bordesanen:simpleqa - created
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text/html2014-12-04T17:16:42+01:00en:start
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EVEREST: Learning high-level representations of sparse tensors.
Funded by an ANR grant - Young Researcher program (JCJC)
Co-funded by a Google Faculty Research Award
PIs: Antoine Bordes & Sébastien Destercke (CNRS).
Heudiasyc Laboratory (CNRS - UTC)text/html2014-10-30T14:32:22+01:00bordesanen:members
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Researchers
* Antoine Bordes (CNRS - UTC) is a CNRS researcher (CR2) at Heudiasyc since 2010. He earned his Ph.D. in computer science and artificial intelligence from the Université Pierre et Marie Curie in 2010, under the direction of Patrick Gallinari at LIP6. Antoine won several awards including best student paper at ICML (2007) and best French Ph.D in artificial intelligence (2010). He is the project coordinator. This project is organized around the main research direction he intends to f…text/html2014-07-29T11:22:21+01:00bordesanen:publications
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Talks
Connecting Large-Scale Knowledge Bases and Natural Language [English] (2013).
Antoine Bordes
UW MSR Summer Institute “Understanding Situated Language in Everyday Life”, Union, WA, USA. July 2013.
[(slides)] (workshop)
Traiter des Données Relationnelles grâce à l’Apprentissage Automatique