Sabit Hassan

Orcid: 0000-0001-7518-966X

According to our database1, Sabit Hassan authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents.
CoRR, 2024

An Active Learning Framework for Inclusive Generation by Large Language Models.
CoRR, 2024

Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios.
CoRR, 2024

2023
Emojis as anchors to detect Arabic offensive language and hate speech.
Nat. Lang. Eng., November, 2023

DisCGen: A Framework for Discourse-Informed Counterspeech Generation.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Multilingual Content Moderation: A Case Study on Reddit.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Cross-lingual Emotion Detection.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning cognitive and linguistic prosodic categories for automatic cross-lingual sign language understanding.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Studying the Effect of Moderator Biases on the Diversity of Online Discussions: A Computational Cross-linguistic Study.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Modeling Intensification for Sign Language Generation: A Computational Approach.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Pre-Training BERT on Arabic Tweets: Practical Considerations.
CoRR, 2021

Adult Content Detection on Arabic Twitter: Analysis and Experiments.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

UL2C: Mapping User Locations to Countries on Arabic Twitter.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

QADI: Arabic Dialect Identification in the Wild.
Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

ASAD: Arabic Social media Analytics and unDerstanding.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic.
Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, 2021

2020
Arabic Dialect Identification in the Wild.
CoRR, 2020

Spam Detection on Arabic Twitter.
Proceedings of the Social Informatics - 12th International Conference, 2020

ALT at SemEval-2020 Task 12: Arabic and English Offensive Language Identification in Social Media.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Constructing a Bilingual Corpus of Parallel Tweets.
Proceedings of the 13th Workshop on Building and Using Comparable Corpora, 2020

2019
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification.
Proceedings of the Fourth Arabic Natural Language Processing Workshop, 2019

An Oracle Hierarchy for Small One-Way Finite Automata.
Proceedings of the Language and Automata Theory and Applications, 2019

2018
Interactive Evaluation of Classifiers Under Limited Resources.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018


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