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20242026
most citedPay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance

6 citations · 11 across the 15 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CL2025

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…

cs.CL2025★ 1 cited

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…

cs.CL2025★ 2 cited

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…

cs.SI2025★ 1 cited

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…

cs.AI2025

MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs

Madina Bekbergenova, Lucas Pradi, Benjamin Navet +15

Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. K…

cs.IR2025

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…

cs.DB2025★ 1 cited

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…