no code implementations • 5 Feb 2024 • Hessa Abdulrahman Alawwad, Areej Alhothali, Usman Naseem, Ali Alkhathlan, Amani Jamal
Textbook question answering (TQA) is a challenging task in artificial intelligence due to the complex nature of context and multimodal data.
no code implementations • 30 Jan 2024 • Khadejaa Alshehri, Areej Alhothali, Nahed Alowidi
We proposed a BERT based weighted ensemble learning approach to integrate the advantages of various BERT models in dialectal Arabic speech acts classification.
no code implementations • 1 Sep 2023 • Salwa Abbara, Mona Hafez, Aya Kazzaz, Areej Alhothali, Alhanouf Alsolami
In this paper, we develop a system that utilizes deep learning (DL) and natural language processing (NLP) techniques to predict the judgment outcome from Arabic case scripts, especially in cases of custody and annulment of marriage.
no code implementations • 1 Sep 2023 • Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi
To investigate the ability to detect suicidal thoughts in Arabic tweets automatically, we developed a novel Arabic suicidal tweets dataset, examined several machine learning models, including Na\"ive Bayes, Support Vector Machine, K-Nearest Neighbor, Random Forest, and XGBoost, trained on word frequency and word embedding features, and investigated the ability of pre-trained deep learning models, AraBert, AraELECTRA, and AraGPT2, to identify suicidal thoughts in Arabic tweets.
no code implementations • 25 Jul 2022 • Tarik Alafif, Anas Hadi, Manal Allahyani, Bander Alzahrani, Areej Alhothali, Reem Alotaibi, Ahmed Barnawi
In large-scale crowds, we fine-tune the ResNet-50 model using YOLOv2 object detection technique to detect individuals with abnormal behaviors in the spatial domain.
no code implementations • 25 Jan 2022 • Asma Abdulsalam, Areej Alhothali
Therefore, using social media to detect and identify suicidal ideation will help provide proper intervention that will eventually dissuade others from self-harming and committing suicide and prevent the spread of suicidal ideations on social media.
no code implementations • 10 Nov 2021 • Kholoud Alsubhi, Amani Jamal, Areej Alhothali
Question answering(QA) is one of the most challenging yet widely investigated problems in Natural Language Processing (NLP).
no code implementations • 2 Nov 2021 • Hind Saleh, Areej Alhothali, Kawthar Moria
The enormous amount of data being generated on the web and social media has increased the demand for detecting online hate speech.
no code implementations • 28 Mar 2017 • Areej Alhothali, Jesse Hoey
In this paper, we propose an extension to graph-based sentiment lexicon induction methods by incorporating distributed and semantic word representations in building the similarity graph to expand a three-dimensional sentiment lexicon.
no code implementations • 22 Jun 2013 • Jesse Hoey, Tobias Schroeder, Areej Alhothali
In this paper, we present a probabilistic and decision-theoretic generalisation of this principle, and we demonstrate how it can be leveraged to build affectively intelligent artificial agents.