Omar Sharif

Orcid: 0000-0002-1971-6522

According to our database1, Omar Sharif authored at least 30 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Deciphering Hate: Identifying Hateful Memes and Their Targets.
CoRR, 2024

Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data.
CoRR, 2024

Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

A Multimodal Framework to Detect Target Aware Aggression in Memes.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Characterizing Information Seeking Events in Health-Related Social Discourse.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity.
CoRR, 2023

Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery.
CoRR, 2023

TEmoX: Classification of Textual Emotion Using Ensemble of Transformers.
IEEE Access, 2023

Chain-of-Thought Embeddings for Stance Detection on Social Media.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Multi-class Textual Emotion Categorization using Ensemble of Convolutional and Recurrent Neural Network.
SN Comput. Sci., 2022

Classification of Textual Sentiment Using Ensemble Technique.
SN Comput. Sci., 2022

BEmoC: A Corpus for Identifying Emotion in Bengali Texts.
SN Comput. Sci., 2022

Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features.
J. King Saud Univ. Comput. Inf. Sci., 2022

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19.
J. Heal. Informatics Res., 2022

Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers.
Neurocomputing, 2022

MemoSen: A Multimodal Dataset for Sentiment Analysis of Memes.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

MUTE: A Multimodal Dataset for Detecting Hateful Memes.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
NLP-CUET@DravidianLangTech-EACL2021: Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes.
CoRR, 2021

NLP-CUET@DravidianLangTech-EACL2021: Offensive Language Detection from Multilingual Code-Mixed Text using Transformers.
CoRR, 2021

Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media.
CoRR, 2021

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner.
Proceedings of the First Workshop on Language Technology for Equality, 2021

Automatic Categorization of News Articles and Headlines Using Multi-layer Perceptron.
ICO, 2021

Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network.
CoRR, 2020

Sentiment Polarity Detection on Bengali Book Reviews Using Multinomial Naive Bayes.
CoRR, 2020

Towards POS Tagging Methods for Bengali Language: A Comparative Analysis.
ICO, 2020

BEmoD: Development of Bengali Emotion Dataset for Classifying Expressions of Emotion in Texts.
ICO, 2020

SentiLSTM: A Deep Learning Approach for Sentiment Analysis of Restaurant Reviews.
Proceedings of the Hybrid Intelligent Systems, 2020

2019
Automatic Detection of Suspicious Bangla Text Using Logistic Regression.
ICO, 2019


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