activity
20182022
most citedLanguage Identification on Massive Datasets of Short Message using an Attention Mechanism CNN

3 citations · 9 across the 5 of their papers we have counts for

collaborators

8 papers

cs.NE2022

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…

cs.CL2021

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…

cs.CL2020

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…

cs.CL20203 cited

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…

cs.CL2020

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,…

cs.SI20203 cited

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…