14 citations · 22 across the 7 of their papers we have counts for
7 papers
Discovery-Driven Integration of Disjoint Tables via Text
Md Ataur Rahman, Dimitris Sacharidis, Oscar Romero +1
Integrating heterogeneous datasets within data lakes is a critical challenge, particularly for semantically related tables that lack the explicit attributes needed to be joined. We…
Text Data Integration
Md Ataur Rahman, Dimitris Sacharidis, Oscar Romero +1
Data comes in many forms. From a shallow perspective, they can be viewed as being either in structured (e.g., as a relation, as key-value pairs) or unstructured (e.g., text, image)…
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
Raisa Tasnim, Mehanaz Chowdhury, Md Ataur Rahman
Author profiling, the analysis of texts to uncover attributes such as gender and age of the author, has become essential with the widespread use of social media platforms. This pap…
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images
Sheikh Mohammad Jubaer, Nazifa Tabassum, Md. Ataur Rahman +1
Handwriting recognition remains challenging for some of the most spoken languages, like Bangla, due to the complexity of line and word segmentation brought by the curvilinear natur…
BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation
Md. Ataur Rahman, Nazifa Tabassum, Mitu Paul +2
We introduce a new dataset for offline Handwritten Text Recognition (HTR) from images of Bangla scripts comprising words, lines, and document-level annotations. The BN-HTRd dataset…
N-gram Statistical Stemmer for Bangla Corpus
Rabeya Sadia, Md Ataur Rahman, Md Hanif Seddiqui
Stemming is a process that can be utilized to trim inflected words to stem or root form. It is useful for enhancing the retrieval effectiveness, especially for text search in order…
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
Md. Ataur Rahman, Md. Hanif Seddiqui
Detecting emotions from text is an extension of simple sentiment polarity detection. Instead of considering only positive or negative sentiments, emotions are conveyed using more t…