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MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification

Aug 29, 2021
Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli

* Multi-task Learning, Social media images, Image Classification, Natural disasters, Crisis Informatics, Deep learning, Dataset 

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A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models

Jul 25, 2021
Firoj Alam, Arid Hasan, Tanvirul Alam, Akib Khan, Janntatul Tajrin, Naira Khan, Shammur Absar Chowdhury

* Under Review, Bangla language processing, text classification, sequence tagging, datasets, benchmarks, transformer models 

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SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images

Apr 25, 2021
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino

* SemEval-2021 
* propaganda, disinformation, misinformation, fake news, memes, multimodality 

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Effect of Post-processing on Contextualized Word Representations

Apr 15, 2021
Hassan Sajjad, Firoj Alam, Fahim Dalvi, Nadir Durrani

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The Role of Context in Detecting Previously Fact-Checked Claims

Apr 15, 2021
Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov

* detecting previously fact-checked claims, fact-checking, disinformation, fake news, social media, political debates 

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Social Media Images Classification Models for Real-time Disaster Response

Apr 09, 2021
Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran

* Social media images, Image Classification, Natural disasters, Crisis Informatics, Deep learning. arXiv admin note: substantial text overlap with arXiv:2011.08916 

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HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks

Apr 08, 2021
Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli

* Accepted in ICWSM-2021, Twitter datasets, Textual content, Natural disasters, Crisis Informatics, Benchmarks, Transformers 

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Automated Fact-Checking for Assisting Human Fact-Checkers

Mar 13, 2021
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino

* fact-checking, fact-checkers, check-worthiness, detecting previously fact-checked claims, evidence retrieval 

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A Survey on Multimodal Disinformation Detection

Mar 13, 2021
Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov

* disinformation, misinformation, factuality, harmfulness, fake news, propaganda, multimodality, text, images, videos, network structure, temporality 

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Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset

Mar 01, 2021
Kashif Ahmad, Firoj Alam, Junaid Qadir, Basheer Qolomany, Imran Khan, Talhat Khan, Muhammad Suleman, Naina Said, Syed Zohaib Hassan, Asma Gul, Ala Al-Fuqaha

* 11 pages, 6 figures 

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Flood Detection via Twitter Streams using Textual and Visual Features

Nov 30, 2020
Firoj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala AL-Fuqaha

* 3 pages 

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Sentiment Classification in Bangla Textual Content: A Comparative Study

Nov 19, 2020
Md. Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, Firoj Alam

* Accepted at ICCIT-2020 

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Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response

Nov 17, 2020
Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi

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Bangla Text Classification using Transformers

Nov 09, 2020
Tanvirul Alam, Akib Khan, Firoj Alam

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Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

Jul 15, 2020
Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov

* COVID-19, Infodemic, Disinformation, Misinformation, Fake News, Call to Arms, Crowdsourcing Annotations 

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Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

Apr 30, 2020
Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov

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Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Apr 29, 2020
Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli

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Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response

Apr 14, 2020
Ferda Ofli, Firoj Alam, Muhammad Imran

* Accepted in ISCRAM 2020 

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Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence

Apr 14, 2020
Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli

* Accepted at ISCRAM 2020 conference 

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Domain Adaptation with Adversarial Training and Graph Embeddings

May 14, 2018
Firoj Alam, Shafiq Joty, Muhammad Imran

* This is a pre-print of our paper accepted to appear in the proceedings of the ACL, 2018 

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Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets

May 02, 2018
Firoj Alam, Shafiq Joty, Muhammad Imran

* 5 pages. arXiv admin note: substantial text overlap with arXiv:1805.05151 

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Annotating and Modeling Empathy in Spoken Conversations

Dec 29, 2017
Firoj Alam, Morena Danieli, Giuseppe Riccardi

* Journal of Computer Speech and Language 

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Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises

Apr 09, 2017
Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran

* Accepted for publication in the 14th International Conference on Information Systems For Crisis Response and Management (ISCRAM), 2017 

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