6 citations · 24 across the 10 of their papers we have counts for
6 papers · 1 filter
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad +3
We present CrossSum, a large-scale cross-lingual summarization dataset comprising 1.68 million article-summary samples in 1,500+ language pairs. We create CrossSum by aligning para…
Environmental Impacts of Personal Protective Clothing Used to Combat COVID-19
Mohammad Abbas Uddin, Shaila Afroj, Tahmid Hasan +3
Personal protective clothing is critical to shield users from highly infectious diseases including COVID-19. Such clothing is predominantly single-use, made of plastic-based synthe…
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam +5
Contemporary works on abstractive text summarization have focused primarily on high-resource languages like English, mostly due to the limited availability of datasets for low/mid-…
CoDesc: A Large Code-Description Parallel Dataset
Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq +6
Translation between natural language and source code can help software development by enabling developers to comprehend, ideate, search, and write computer programs in natural lang…
BERT2Code: Can Pretrained Language Models be Leveraged for Code Search?
Abdullah Al Ishtiaq, Masum Hasan, Md. Mahim Anjum Haque +5
Millions of repetitive code snippets are submitted to code repositories every day. To search from these large codebases using simple natural language queries would allow programmer…
BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad +5
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…