63 citations · 68 across the 14 of their papers we have counts for
15 papers
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…
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…
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…
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…
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…
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…
DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification
Hanna Abi Akl
We introduce semantic towers, an extrinsic knowledge representation method, and compare it to intrinsic knowledge in large language models for ontology learning. Our experiments sh…
NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification
Hanna Abi Akl
We present a neuro-symbolic (NeSy) workflow combining a symbolic-based learning technique with a large language model (LLM) agent to generate synthetic data for code comment classi…
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
Hanna Abi Akl
The Scholarly Question Answering over Linked Data (Scholarly QALD) at The International Semantic Web Conference (ISWC) 2023 challenge presents two sub-tasks to tackle question answ…
A ML-LLM pairing for better code comment classification
Hanna Abi Akl
The "Information Retrieval in Software Engineering (IRSE)" at FIRE 2023 shared task introduces code comment classification, a challenging task that pairs a code snippet with a comm…
The Path to Autonomous Learners
Hanna Abi Akl
In this paper, we present a new theoretical approach for enabling domain knowledge acquisition by intelligent systems. We introduce a hybrid model that starts with minimal input kn…
Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representations
Hanna Abi Akl, Dominique Mariko, Hugues de Mazancourt
In this paper, we present our approaches for the FinSim-3 Shared Task 2021: Learning Semantic Similarities for the Financial Domain. The aim of this shared task is to correctly cla…
Financial Document Causality Detection Shared Task (FinCausal 2020)
Dominique Mariko, Hanna Abi Akl, Estelle Labidurie +3
We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset, and discuss the participating systems and results. Two…
Data Processing and Annotation Schemes for FinCausal Shared Task
Dominique Mariko, Estelle Labidurie, Yagmur Ozturk +2
This document explains the annotation schemes used to label the data for the FinCausal Shared Task (Mariko et al., 2020). This task is associated to the Joint Workshop on Financial…
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis
Hanna Abi Akl, Dominique Mariko, Estelle Labidurie
In this paper, we explore strategies to detect and evaluate counterfactual sentences. We describe our system for SemEval-2020 Task 5: Modeling Causal Reasoning in Language: Detecti…