Associate Professor in the Data Science Department. His research focuses on Semantic Data Integration, Knowledge Graphs, Semantic Web, Natural Language Understanding, Information Extraction, and Recommender Systems. He teaches Human-computer interaction for the Web and Semantic Web technologies. Winner of multiple Best Paper Awards and Semantic Web Challenge prizes.
Raphael’s Publications
Graphameleon: Relational Learning and Anomaly Detection on Web Navigation Traces Captured as Knowledge Graphs
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques
D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition
The MUSTI challenge@MediaEval 2023 - Multimodal Understanding of Smells in Texts and Images with Zero-shot Evaluation
Des données tabulaires aux graphes de connaissances : état de l'art des méthodes d'interprétations sémantique de tables
Designing NORIA: a Knowledge Graph-based Platform for Anomaly Detection and Incident Management in ICT Systems
Stories of love and violence: zero-shot interesting events' classification for unsupervised TV series summarization
Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian Optimization
Walks in Cyberspace: Improving Web Browsing and Network Activity Analysis with 3D Live Graph Rendering
From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH
Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques
Zero-Shot Information Extraction to Enhance a Knowledge Graph Describing Silk Textiles - English and Spanish neighborhood sub-graphs (Version 1)
Material for the paper MIDI2vec: Learning MIDI Embeddings for Reliable Prediction of Symbolic Music Metadata (Version 1.0)
How to Understand Better Smart Vehicle? Knowledge Extraction for the Automotive Sector Using Web of Things
Predicting Your Next Trip: A Knowledge Graph-Based Multi-task Learning Approach for Travel Destination Recommendation
Representing Complex Knowledge for Exploration and Recommendation: The Case of Classical Music Information
Modeling dangerous driving events based on in-vehicle data using Random Forest and Recurrent Neural Network
Une nouvelle méthode ensembliste pour la reconnaissance et la désambiguïsation d'entités nommées en utilisant des réseaux de neurones
JeuxDeLiens: Word Embeddings and Path-Based Similarity for Entity Linking using the French JeuxDeMots Lexical Semantic Network
An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification
Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks
Towards An Objective Assessment Framework for Linked Data Quality: Enriching Dataset Profiles with Quality Indicators
The Concentric Nature of News Semantic Snapshots: Knowledge Extraction for Semantic Annotation of News Items
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