Publication

Approaching Ontology Alignment through Representation Learning to Bridge the Semantic Gap in Engineering Applications

Publications associées (60)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

A type I conjecture and boundary representations of hyperbolic groups

Nicolas Monod

We establish new results on the weak containment of quasi-regular and Koopman representations of a second countable locally compact group G

G

associated with nonsingular G

G

-spaces. We deduce that any two boundary representations of a hyperbolic locally ...

WILEY2023

Approaching Ontology Alignment through Representation Learning to Bridge the Semantic Gap in Engineering Applications

Graph Chatbot

Chattez avec Graph Search

Co-encoding embodied knowledge in Southern Chinese martial arts: a collaboration between computists, experts, and digital models

A type I conjecture and boundary representations of hyperbolic groups

Mechanical intelligence for learning embodied sensor-object relationships

Bridging the gap between model-driven and data-driven methods in the era of Big Data

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Graph Representation Learning with Optimal Transport: Analysis and Applications

Unsupervised Term Extraction for Highly Technical Domains

GenIE: Generative Information Extraction

Strong Heuristics for Named Entity Linking

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

Mechanical intelligence for learning embodied sensor-object relationships

Bridging the gap between model-driven and data-driven methods in the era of Big Data

Graph Representation Learning with Optimal Transport: Analysis and Applications

Co-encoding embodied knowledge in Southern Chinese martial arts: a collaboration between computists, experts, and digital models

Unsupervised Term Extraction for Highly Technical Domains

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

GenIE: Generative Information Extraction

Strong Heuristics for Named Entity Linking

A type I conjecture and boundary representations of hyperbolic groups

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation