Omar Sharif

Omar Sharif

Graduate student at Dartmouth CS, advised by Prof. Sarah M. Preum. Interested to apply deep learning to understand natural language.

Research Interest

My broad research interests are in Natural Language Processing and Human Computer Interaction. Some of the areas I wish to work are,

  • Large Language Models, Information Extraction, Multilingual and low‐resource NLP
  • Health Informatics, Social Computing [Objectionable (aggressive, abusive, fake, hate) content classification]
  • Multimodal NLP [utilize (linguistic, acoustic, visual) features to build intelligent systems)]

Publications

To get the full list of my papers please check: [Google Scholar] / [Semantic Scholar]

Works in Progress

Deciphering Hate: Identifying Hateful Memes and Their Targets

Under Review

Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection

Under Review

Conferences

Characterizing Information Seeking Events in Health-Related Social Discourse

Omar Sharif, Madhusudan Basak, Tanzia Parvin, et al.
[AAAI-2024] / [Paper] / [Code] / [Dataset]

Chain-of-Thought Embeddings for Stance Detection on Social Media

Joseph Gatto, Omar Sharif, Sarah Preum
[EMNLP-2023 Findings] / [Paper] / [Code]

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity

Joseph Gatto, Omar Sharif, Parker Seegmiller, Philip Bohlman, Sarah Preum
[GEM@EMNLP-2023] / [Paper] / [Dataset]

Theme-driven Keyphrase Extraction to Analyze Social Media Discourse

William Romano*, Omar Sharif*, Madhusudan Basak, Joseph Gatto, Sarah Preum
[ICWSM-2024] / [Paper]

MUTE: A Multimodal Dataset for Detecting Hateful Memes

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
[AACL-SRW 2022] / [Paper]

M-BAD: A Multilabel Dataset for Detecting Aggressive Texts and Their Targets

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
[CONSTRAINT@ACL-2022] / [Paper]

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H. Sarker
[NAACL-SRW 2021] / [Paper] / [Code]

Align and Conquer: An Ensemble Approach to Classify Aggressive Texts from Social Media

Omar Sharif, Mohammed Moshiul Hoque
[SPICSCON-2021, IEEE] / [Paper]

Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation

🏆 [Best paper award (research track)]
Omar Sharif, Mohammed Moshiul Hoque
[CONSTRAINT@AAAI-2021 (acceptance rate: 37.1%)] / [Paper]

Sentiment analysis of Bengali texts on online restaurant reviews using multinomial Naïve Bayes

Omar Sharif, Mohammed Moshiul Hoque, Eftekhar Hossain
[ICASERT-2019, IEEE] / [Paper]

Automatic Detection of Suspicious Bangla Text Using Logistic Regression

Omar Sharif, Mohammed Moshiul Hoque
[ICO-2019, Springer] / [Paper]

Journals

Tackling Cyber-Aggression: Identification and Fine-Grained Categorization of Aggressive Texts on Social Media using Weighted Ensemble of Transformers

Omar Sharif, Mohammed Moshiul Hoque
[Neurocomputing (IF: 5.77, HI: 143)] / [Paper] / [Dataset]

Identification of Multilingual Offense and Troll from Social Media Memes using Weighted Ensemble of Multimodal Features

Eftekhar Hossain, Omar Sharif , Mohammed Moshiul Hoque, et al.
[JKSUCIS (IF: 8.83)] / [Paper]

Detecting Suspicious Texts Using Machine Learning Techniques

Omar Sharif, Mohammed Moshiul Hoque, A. S. M. Kayes, Raza Nowrozy, Iqbal H. Sarker
[Journal of Applied Sciences (IF: 2.67)] / [Paper]

Workshops

Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner

🥇 [Top model in multilingual hope speech detection challenge]
Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
[LTEDI@EACL-2021] / [Paper] / [Code]

Offensive Language Detection from Multilingual Code-Mixed Text using Transformers

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
[DravidianLangTech@EACL-2021] / [Paper] / [Code]

Investigating Visual and Textual Features to Identify Trolls from Multimodal Social Media Memes

Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque
[DravidianLangTech@EACL-2021] / [Paper]

Combating Hostility: Covid-19 Fake News and Hostile Post Detection in Social Media

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
[Preprint@arXiv] / [Paper] / [Code]

TechTexC: Classification of Technical Texts using Convolution and Bidirectional Long Short Term Memory Network

Omar Sharif, Eftekhar Hossain, Mohammed Moshiul Hoque
[ICON-2020, ACL Indexed] / [Paper]

Others [Mentorship]

Some collaborative works with CUET NLP members were accepted in several conferences/ journals. However, my contribution to these works was <=25%. I performed a subset of these tasks: {Concpetualization, Verify implementation, Review and Edited draft manuscript}.

Word Embedding based Textual Semantic Similarity Measure in Bengali

MD. Asif Iqbal, Omar Sharif, Mohammed Moshiul Hoque, Iqbal H.Sarker
[Procedia Computer Science Journal] / [Paper]

Classification of Textual Sentiment Using Ensemble Technique

Md. Mashiur Rahaman Mamun, Omar Sharif, Mohammed Moshiul Hoque
[SN Computer Science Journal] / [Paper]

Multi-class Sports News Categorization using Machine Learning Techniques: Resource Creation and Evaluation

Adrita Barua, Omar Sharif, Mohammed Moshiul Hoque
[Procedia Computer Science Journal] / [Paper]

Automatic Categorization of News Articles and Headlines Using Multi-layer Perceptron

Fatima Jahara, Omar Sharif, Mohammed Moshiul Hoque
[ICO-2021, Springer] / [Paper]

BEmoD: Development of Bengali Emotion Dataset for Classifying Expressions of Emotion in Texts

Avishek Das, MD. Asif Iqbal, Omar Sharif, Mohammed Moshiul Hoque
[ICO-2020, Springer] / [Paper]

Towards POS Tagging Methods for Bengali Language: A Comparative Analysis

Fatima Jahara, Adrita Barua, MD. Asif Iqbal, Avishek Das, Omar Sharif, et al.
[ICO-2020, Springer] / [Paper]

An Empirical Framework for Bangla Word Sense Disambiguation Using Statistical Approach

Monisha Biswas, Omar Sharif, Mohammed Moshiul Hoque
[ICMLBDA-2021, Springer] / [Paper]

Fine-grained Categorization of Abusive Comments using Logistic Regression

Alamgir Hossain et al.,
[TamilNLP@ACL-22] / [Paper]

Exploiting Textual Features to Classify Sentiment of Multimodal Movie Reviews

Nasehatul Mustakim et al.,
[DravidianLang Tech@ACL-22] / [Paper]

Investigating Deep Learning Techniques to Detect Multimodal Troll Memes

Md Hasan et al.,
[DravidianLang Tech@ACL-22] / [Paper]

Multi-Class Textual Emotion Detection from Social Media using Transformer

Nasehatul Mustakim et al.,
[TamilNLP@ACL-22] / [Paper]