1 citations · 1 across the 3 of their papers we have counts for
6 papers
A systematic review of relation extraction task since the emergence of Transformers
Ringwald Celian, Gandon, Fabien +3
This article presents a systematic review of relation extraction (RE) research since the advent of Transformer-based models. Using an automated framework to collect and annotate pu…
Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties
Célian Ringwald, Fabien Gandon, Catherine Faron +2
Small language models (SLMs) have shown promises for relation extraction (RE) when extracting RDF triples guided by SHACL shapes focused on common datatype properties. This paper i…
Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction
Ringwald Celian, Gandon Fabien, Faron Catherine +2
RDF pattern-based extraction is a compelling approach for fine-tuning small language models (SLMs) by focusing a relation extraction task on a specified SHACL shape. This technique…
No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture
Hamza Belgroun, Franck Michel, Fabien Gandon
In our age of digital platforms, human attention has become a scarce and highly valuable resource, rivalrous, tradable, and increasingly subject to market dynamics. This article ex…
Eat your own KR: a KR-based approach to index Semantic Web Endpoints and Knowledge Graphs
Pierre Maillot, Catherine Faron, Fabien Gandon +2
Over the last decade, knowledge graphs have multiplied, grown, and evolved on the World Wide Web, and the advent of new standards, vocabularies, and application domains has acceler…
QForge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs
Yousouf Taghzouti, Franck Michel, Tao Jiang +2
The SPARQL query language is the standard method to access knowledge graphs (KGs). However, formulating SPARQL queries is a significant challenge for non-expert users, and remains…