activity
20202026
most citedFinancial Document Causality Detection Shared Task (FinCausal 2020)

63 citations · 68 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CL2026

Are you Talking Logic to Me? Assessing Language Models Syllogistic Reasoning Capabilities

Hanna Abi Akl, Fabien Gandon, Catherine Faron +1

Language models (LMs) struggle with logical tasks like reasoning on syllogisms. It has been shown that Knowledge Representation (KR) plays a crucial role in expressing input inform…

cs.CL2026

SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance

Hanna Abi Akl, Fabien Gandon, Catherine Faron +1

This paper revisits our pipeline called Syllogistic Evaluation Framework-Common Logic Grammar Construction (SEF-CLGC). We combine formal logical notations with Small Language Model…

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★ 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.AI2025

Investigating Language Model Capabilities to Represent and Process Formal Knowledge: A Preliminary Study to Assist Ontology Engineering

Hanna Abi Akl

Recent advances in Language Models (LMs) have failed to mask their shortcomings particularly in the domain of reasoning. This limitation impacts several tasks, most notably those i…

cs.CL2024

Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probing

Hanna Abi Akl

We introduce SHADOW, a fine-tuned language model trained on an intermediate task using associative deductive reasoning, and measure its performance on a knowledge base construction…