Idel: In-database entity linking with neural embeddings
We present a novel architecture, In-Database Entity Linking (IDEL), in which we integrate the
analytics-optimized RDBMS MonetDB with neural text mining abilities. Our system design …
analytics-optimized RDBMS MonetDB with neural text mining abilities. Our system design …
Data Analytics as a Service–A Summary of Keynotes and Poster of the DAS Workshop: An Extended Abstracts Point of View
T Kilias, R Gao - INFORMATIK 2024, 2024 - dl.gi.de
This paper shows an overview and summary of the practical keynotes and poster of the DAS
workshop given by Torsten Kilias and Raymond Gao. Insights into Exasol databases and …
workshop given by Torsten Kilias and Raymond Gao. Insights into Exasol databases and …
Mcvae: Margin-based conditional variational autoencoder for relation classification and pattern generation
Relation classification is a basic yet important task in natural language processing. Existing
relation classification approaches mainly rely on distant supervision, which assumes that a …
relation classification approaches mainly rely on distant supervision, which assumes that a …
IDEL: In-database neural entity linking
We present a novel architecture In-Database Entity Linking (IDEL), in which we integrate the
analytical RDBMS MonetDB with neural text mining abilities. To the best of our knowledge …
analytical RDBMS MonetDB with neural text mining abilities. To the best of our knowledge …
[PDF][PDF] IDEL: In-Database Entity Linking with Neural Embeddings
R Koopmanschap, Y Zhang… - Proceedings of the …, 2018 - fashionbrain-project.eu
We present a novel architecture, In-Database Entity Linking (IDEL), in which we integrate the
analytics-optimized RDBMS MonetDB with neural text mining abilities. Our system design …
analytics-optimized RDBMS MonetDB with neural text mining abilities. Our system design …