Search Results for author:
Found 22 papers, 4 papers with code
Measuring reasoning capabilities of ChatGPT
The 100 solutions generated by ChatGPT contain 698 logical faults.
Forest Mixing: investigating the impact of multiple search trees and a shared refinements pool on ontology learning
We focus here on algorithms for learning axioms in description logic.
Brave new world: Artificial Intelligence in teaching and learning
We exemplify how Large Language Models are used in both teaching and learning.
Formalising Natural Language Quantifiers for Human-Robot Interactions
We present a method for formalising quantifiers in natural language in the context of human-robot interactions.
Case Study: Using AI-Assisted Code Generation In Mobile Teams
The aim of this study is to evaluate the performance of AI-assisted programming in actual mobile development teams that are focused on native mobile languages like Kotlin and Swift.
Interleaving GANs with knowledge graphs to support design creativity for book covers
An attractive book cover is important for the success of a book.
Detecting diabetic retinopathy severity through fundus images using an ensemble of classifiers
In the case of diabetic retinopathy, the blood vessels in the retina deteriorate and can lead to bleeding, swelling, and other changes that affect vision.
Ontology engineering with Large Language Models
We tackle the task of enriching ontologies by automatically translating natural language sentences into Description Logic.
Solving probability puzzles with logic toolkit
Then Mace4 - that computes all the interpretation models of a FOL theory - is called twice.
A Puzzle-Based Dataset for Natural Language Inference
We provide here a dataset for tasks related to natural language understanding and natural language inference.
Natural Language Inference
Natural Language Understanding
+1
Natural language understanding for logical games
We developed a system able to automatically solve logical puzzles in natural language.
Explainable Artificial Intelligence (XAI)
Natural Language Understanding
Detecting fake news for the new coronavirus by reasoning on the Covid-19 ontology
In the context of the Covid-19 pandemic, many were quick to spread deceptive information.
Mining Arguments from Cancer Documents Using Natural Language Processing and Ontologies
To better understand the supporting arguments for new findings related to current state of the art in the medical domain we need tools able to identify arguments in scientific papers.
Harmonization of conflicting medical opinions using argumentation protocols and textual entailment - a case study on Parkinson disease
To encapsulate existing medical knowledge, we rely on ontologies.
Assisting Drivers During Overtaking Using Car-2-Car Communication and Multi-Agent Systems
A warning system for assisting drivers during overtaking maneuvers is proposed.
Information retrieval in folktales using natural language processing
Our aim is to extract information about literary characters in unstructured texts.
Enacting textual entailment and ontologies for automated essay grading in chemical domain
We propose a system for automated essay grading using ontologies and textual entailment.
Data structuring for the ontological modelling of wind energy systems
Small wind projects encounter difficulties to be efficiently deployed, partly because wrong way data and information are managed.
Automating the Dispute Resolution in Task Dependency Network
When perturbation or unexpected events do occur, agents need protocols for repairing or reforming the supply chain.
Enacting Social Argumentative Machines in Semantic Wikipedia
This research advocates the idea of combining argumentation theory with the social web technology, aiming to enact large scale or mass argumentation.
OntoRich - A Support Tool for Semi-Automatic Ontology Enrichment and Evaluation
This paper presents the OntoRich framework, a support tool for semi-automatic ontology enrichment and evaluation.
Justificatory and Explanatory Argumentation for Committing Agents
In the interaction between agents we can have an explicative discourse, when communicating preferences or intentions, and a normative discourse, when considering normative knowledge.
