34 citations · 56 across the 6 of their papers we have counts for
8 papers
A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Composition
Nabil Mosharraf Hossain, Riasat Islam, Unaizah Obaidellah
Quran Automatic Speech Recognition (ASR) aims to convert Quranic recitation into text, enabling applications such as aided memorisation tools and Quranic search engines. However, e…
Designing for Interconnected Islamic Learning: A Qualitative Study of Muslim Women's Experiences with Qur'an, Hadith, and Seerah Apps
Ishrat Jahan Easha, Nabil Mosharraf Hossain, Araf Mohammad Mahbub +4
Islamic learning often depends on reading the Qur'an, Hadith, and Seerah together, yet digital tools typically separate these sources across apps, screens, and search pathways. We…
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
Nabil Hossain, John Krumm, Michael Gamon +1
This paper describes the SemEval-2020 shared task "Assessing Humor in Edited News Headlines." The task's dataset contains news headlines in which short edits were applied to make t…
"Judge me by my size (noun), do you?'' YodaLib: A Demographic-Aware Humor Generation Framework
Aparna Garimella, Carmen Banea, Nabil Hossain +1
The subjective nature of humor makes computerized humor generation a challenging task. We propose an automatic humor generation framework for filling the blanks in Mad Libs stories…
Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines
Nabil Hossain, John Krumm, Tanvir Sajed +1
Building datasets of creative text, such as humor, is quite challenging. We introduce FunLines, a competitive game where players edit news headlines to make them funny, and where t…
"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines
Nabil Hossain, John Krumm, Michael Gamon
We introduce, release, and analyze a new dataset, called Humicroedit, for research in computational humor. Our publicly available data consists of regular English news headlines pa…