most citedEffect of Word Embedding Models on Hate and Offensive Speech Detection

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2021

Constrained Optimization with Qualitative Preferences

Sultan Ahmed, Malek Mouhoub

The Conditional Preference Network (CP-net) graphically represents user's qualitative and conditional preference statements under the ceteris paribus interpretation. The constraine…

cs.AI20211 cited

Exact Learning of Qualitative Constraint Networks from Membership Queries

Malek Mouhoub, Hamad Al Marri, Eisa Alanazi

A Qualitative Constraint Network (QCN) is a constraint graph for representing problems under qualitative temporal and spatial relations, among others. More formally, a QCN includes…

cs.AI2021

An Ontology-Based Information Extraction System for Residential Land Use Suitability Analysis

Munira Al-Ageili, Malek Mouhoub

We propose an Ontology-Based Information Extraction (OBIE) system to automate the extraction of the criteria and values applied in Land Use Suitability Analysis (LUSA) from bylaw a…

cs.LG20212 cited

Optimizing Neural Network Weights using Nature-Inspired Algorithms

Wael Korani, Malek Mouhoub, Samira Sadaoui

This study aims to optimize Deep Feedforward Neural Networks (DFNNs) training using nature-inspired optimization algorithms, such as PSO, MTO, and its variant called MTOCL. We show…

cs.HC2021

Communication Aid for Non-English Speaking Newcomers

Munira Al-Ageili, Malek Mouhoub

This research work is intended to assess the usability of Pictogram symbols and other visual symbols in an audio-visual strategy to facilitate and enhance the use and learning of E…

cs.CL20203 cited

Effect of Word Embedding Models on Hate and Offensive Speech Detection

Safa Alsafari, Samira Sadaoui, Malek Mouhoub

Deep neural networks have been adopted successfully in hate speech detection problems. Nevertheless, the effect of the word embedding models on the neural network's performance has…