41 citations · 61 across the 9 of their papers we have counts for
10 papers
Association Rules Mining with Auto-Encoders
Théophile Berteloot, Richard Khoury, Audrey Durand
Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to explainable classification systems. Cla…
RISC: Generating Realistic Synthetic Bilingual Insurance Contract
David Beauchemin, Richard Khoury
This paper presents RISC, an open-source Python package data generator (https://github.com/GRAAL-Research/risc). RISC generates look-alike automobile insurance contracts based on t…
Cambrian Explosion Algorithm for Multi-Objective Association Rules Mining
Théophile Berteloot, Richard Khoury, Audrey Durand
Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to highly explainable classification syste…
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph
Mohannad AlMousa, Rachid Benlamri, Richard Khoury
Various applications in computational linguistics and artificial intelligence rely on high-performing word sense disambiguation techniques to solve challenging tasks such as inform…
Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations
David Beauchemin, Nicolas Garneau, Eve Gaumond +3
Plumitifs (dockets) were initially a tool for law clerks. Nowadays, they are used as summaries presenting all the steps of a judicial case. Information concerning parties' identity…
Generalisation of Cyberbullying Detection
Khoury Richard, Larochelle Marc-André
Cyberbullying is a problem in today's ubiquitous online communities. Filtering it out of online conversations has proven a challenge, and efforts have led to the creation of many d…
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet
Mohannad AlMousa, Rachid Benlamri, Richard Khoury
Various applications in the areas of computational linguistics and artificial intelligence employ semantic similarity to solve challenging tasks, such as word sense disambiguation,…
Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations
Éloi Brassard-Gourdeau, Richard Khoury
The challenge of automatic detection of toxic comments online has been the subject of a lot of research recently, but the focus has been mostly on detecting it in individual messag…
Language Identification on Massive Datasets of Short Message using an Attention Mechanism CNN
Duy Tin Vo, Richard Khoury
Language Identification (LID) is a challenging task, especially when the input texts are short and noisy such as posts and statuses on social media or chat logs on gaming forums. T…
Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments
Éloi Brassard-Gourdeau, Richard Khoury
The presence of toxic content has become a major problem for many online communities. Moderators try to limit this problem by implementing more and more refined comment filters, bu…