1 code implementation • Findings (EMNLP) 2021 • Khondoker Ittehadul Islam, Sudipta Kar, Md Saiful Islam, Mohammad Ruhul Amin
In this paper, we propose an annotated sentiment analysis dataset made of informally written Bangla texts.
no code implementations • EMNLP 2021 • Md Kamrul Hasan, James Spann, Masum Hasan, Md Saiful Islam, Kurtis Haut, Rada Mihalcea, Ehsan Hoque
The combination of gestures, intonations, and textual content plays a key role in argument delivery.
no code implementations • RANLP 2021 • Henry Gorelick, Biddut Sarker Bijoy, Syeda Jannatus Saba, Sudipta Kar, Md Saiful Islam, Mohammad Ruhul Amin
By analyzing the model parameters, we extracted the successful semantic relationships from books of 12 different genres.
no code implementations • 8 Mar 2024 • Aisha Khatun, Anisur Rahman, Md Saiful Islam, Hemayet Ahmed Chowdhury, Ayesha Tasnim
Moreover, we introduce the publicly available Bangla Authorship Attribution Dataset of 16 authors (BAAD16) containing 17, 966 sample texts and 13. 4+ million words to solve the standard dataset scarcity problem and release six variations of pre-trained language models for use in any Bangla NLP downstream task.
no code implementations • 24 Feb 2024 • Md Khaledur Rahman, Faysal Amin Tanvir, Md Saiful Islam, Md Shameem Ahsan, Manam Ahmed
The aim is to assess the effects of different cost-driven EV charging strategies on the power distribution network (PDN).
no code implementations • 23 Dec 2023 • Md Saiful Islam, Srijita Das, Sai Krishna Gottipati, William Duguay, Clodéric Mars, Jalal Arabneydi, Antoine Fagette, Matthew Guzdial, Matthew-E-Taylor
In this work, we show that learning from humans is effective and that human-AI collaboration outperforms human-controlled and fully autonomous AI agents in a complex simulation environment.
no code implementations • 10 Dec 2023 • Md. Zarif Ul Alam, Md Saiful Islam, Ehsan Hoque, M Saifur Rahman
PULSAR is trained and evaluated on data collected from 382 participants (183 self-reported as PD patients).
no code implementations • 21 Nov 2023 • Md Saiful Islam, Sangwu Lee, Abdelrahman Abdelkader, Sooyong Park, Ehsan Hoque
We present a web-based framework to screen for Parkinson's disease (PD) by allowing users to perform neurological tests in their homes.
no code implementations • 3 Aug 2023 • Tariq Adnan, Md Saiful Islam, Wasifur Rahman, Sangwu Lee, Sutapa Dey Tithi, Kazi Noshin, Imran Sarker, M Saifur Rahman, Ehsan Hoque
Parkinson's disease (PD) diagnosis remains challenging due to lacking a reliable biomarker and limited access to clinical care.
no code implementations • 10 Jun 2023 • Bilash Saha, Md Saiful Islam, Abm Kamrul Riad, Sharaban Tahora, Hossain Shahriar, Sweta Sneha
Falls among the elderly are a major health concern, frequently resulting in serious injuries and a reduced quality of life.
no code implementations • 30 Mar 2023 • Md Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader, Phillip T. Yang, Sangwu Lee, Jamie L. Adams, Ruth B. Schneider, E. Ray Dorsey, Ehsan Hoque
We present an artificial intelligence system to remotely assess the motor performance of individuals with Parkinson's disease (PD).
no code implementations • 27 Mar 2023 • Md Kamrul Hasan, Md Saiful Islam, Sangwu Lee, Wasifur Rahman, Iftekhar Naim, Mohammed Ibrahim Khan, Ehsan Hoque
Our approach, TextMI, significantly reduces model complexity, adds interpretability to the model's decision, and can be applied for a diverse set of tasks while achieving superior (multimodal sarcasm detection) or near SOTA (multimodal sentiment analysis and multimodal humor detection) performance.
no code implementations • 21 Dec 2022 • Adiba Mahbub Proma, Md Saiful Islam, Stela Ciko, Raiyan Abdul Baten, Ehsan Hoque
Climate change has increased the intensity, frequency, and duration of extreme weather events and natural disasters across the world.
1 code implementation • LREC 2022 • Mohammad Faiyaz Khan, S. M. Sadiq-Ur-Rahman Shifath, Md Saiful Islam
As computers have become efficient at understanding visual information and transforming it into a written representation, research interest in tasks like automatic image captioning has seen a significant leap over the last few years.
1 code implementation • 15 Mar 2022 • Wasifur Rahman, Masum Hasan, Md Saiful Islam, Titilayo Olubajo, Jeet Thaker, Abdelrahman Abdelkader, Phillip Yang, Tetsuo Ashizawa, Ehsan Hoque
In this paper, we investigated whether we can 1) detect participants with ataxia-specific gait characteristics (risk-prediction), and 2) assess severity of ataxia from gait (severity-assessment) using computer vision.
no code implementations • 3 Dec 2021 • Nauros Romim, Mosahed Ahmed, Md Saiful Islam, Arnab Sen Sharma, Hriteshwar Talukder, Mohammad Ruhul Amin
In this paper, we present HS-BAN, a binary class hate speech (HS) dataset in Bangla language consisting of more than 50, 000 labeled comments, including 40. 17% hate and rest are non hate speech.
no code implementations • 27 Nov 2021 • Md Saiful Islam, Sahil Shikalgar, Md. Noor-E-Alam
Performance on both simulated and real-world data highlights that OAENet notably enhances the accuracy of estimating treatment effects or evaluating policy decision-making with causal inference.
no code implementations • 19 Nov 2021 • Nobel Dhar, Gaurob Saha, Prithwiraj Bhattacharjee, Avi Mallick, Md Saiful Islam
Experimenting with the proposed model, we achieved ROUGE-1 and ROUGE-2 scores of 0. 66, 0. 41 for the "BANSData" dataset and 0. 67, 0. 42 for the BANS-133k" dataset, respectively.
no code implementations • Joint Conference on Lexical and Computational Semantics 2021 • Syeda Jannatus Saba, Biddut Sarker Bijoy, Henry Gorelick, Sabir Ismail, Md Saiful Islam, Mohammad Ruhul Amin
This article presents the study of semantic word associations using the word embedding of book content for a set of Roget{'}s thesaurus concepts for book success prediction.
1 code implementation • Findings (ACL) 2021 • Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar
XL-Sum induces competitive results compared to the ones obtained using similar monolingual datasets: we show higher than 11 ROUGE-2 scores on 10 languages we benchmark on, with some of them exceeding 15, as obtained by multilingual training.
1 code implementation • Findings (NAACL) 2022 • Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Kazi Samin, Md Saiful Islam, Anindya Iqbal, M. Sohel Rahman, Rifat Shahriyar
In this work, we introduce BanglaBERT, a BERT-based Natural Language Understanding (NLU) model pretrained in Bangla, a widely spoken yet low-resource language in the NLP literature.
no code implementations • 22 Dec 2020 • Md Saiful Islam, Md Sarowar Morshed, Md. Noor-E-Alam
While causal inference requires randomized experiments, researchers and policymakers are increasingly using observational studies to test causal hypotheses due to the wide availability of observational data and the infeasibility of experiments.
no code implementations • 17 Dec 2020 • Nauros Romim, Mosahed Ahmed, Hriteshwar Talukder, Md Saiful Islam
Our core contribution is to make this benchmark dataset available and accessible to facilitate further research in the field of in the field of Bengali hate speech detection.
no code implementations • 10 Dec 2020 • Manal, Ali Hasan Md. Linkon, Md. Mahir Labib, Marium-E-Jannat, Md Saiful Islam
Our study acts as a pre-requisite for the impact of NST stylized image using Bangladeshi paintings on mobile UI/GUI and material translation from the human perspective.
no code implementations • 10 Dec 2020 • Ali Hasan Md. Linkon, Md. Mahir Labib, Faisal Haque Bappy, Soumik Sarker, Marium-E-Jannat, Md Saiful Islam
We have achieved maximum test accuracy of 98. 88\% on 8000 images dataset using MobileNet, 100\% on the 1970 images dataset using NASNetMobile, and 97. 77\% on the combined dataset (9970 images) using MobileNet.
1 code implementation • 3 Dec 2020 • Prithwiraj Bhattacharjee, Avi Mallick, Md Saiful Islam, Marium-E-Jannat
Our proposed system deploys a local attention-based model that produces a long sequence of words with lucid and human-like generated sentences with noteworthy information of the original document.
no code implementations • 1 Dec 2020 • Mahfuz Ahmed Masum, Sheikh Junayed Ahmed, Ayesha Tasnim, Md Saiful Islam
Due to the breathtaking growth of social media or newspaper user comments, online product reviews comments, sentiment analysis (SA) has captured substantial interest from the researchers.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3