Search Results for author: Md Saiful Islam

Found 9 papers, 3 papers with code

A Study on Using Semantic Word Associations to Predict the Success of a Novel

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.


XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

1 code implementation25 Jun 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.

Abstractive Text Summarization

BanglaBERT: Combating Embedding Barrier in Multilingual Models for Low-Resource Language Understanding

1 code implementation1 Jan 2021 Abhik Bhattacharjee, Tahmid Hasan, Kazi Samin, Md Saiful Islam, M. Sohel Rahman, Anindya Iqbal, Rifat Shahriyar

As a bi-product of the standard NLU benchmarks, we introduce a new downstream dataset on natural language inference (NLI) and show that BanglaBERT outperforms previous state-of-the-art results on all tasks by up to 3. 5%.

Document Classification Language Modelling +3

Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference

no code implementations22 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.

Causal Inference Decision Making

Hate Speech detection in the Bengali language: A dataset and its baseline evaluation

no code implementations17 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.

Hate Speech Detection

Deep Learning Approach Combining Lightweight CNN Architecture with Transfer Learning: An Automatic Approach for the Detection and Recognition of Bangladeshi Banknotes

no code implementations10 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.

Transfer Learning

Restyling Images with the Bangladeshi Paintings Using Neural Style Transfer: A Comprehensive Experiment, Evaluation, and Human Perspective

no code implementations10 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.

Style Transfer

Bengali Abstractive News Summarization(BANS): A Neural Attention Approach

1 code implementation3 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.

Abstractive Text Summarization Document Summarization +1

BAN-ABSA: An Aspect-Based Sentiment Analysis dataset for Bengali and it's baseline evaluation

no code implementations1 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

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