output
20132025
most citedQuality at a Glance: An Audit of Web-Crawled Multilingual Datasets

177 citations

17 papers

stat.ME2025

Unified and Simple Sample Size Calculations for Individual or Cluster Randomized Trials with Skewed or Ordinal Outcomes

Shengxin Tu, Chun Li, Caroline De Schacht +4

Sample size calculations can be challenging with skewed continuous outcomes in randomized controlled trials (RCTs). Standard t-test-based calculations may require data transformati…

cs.CL2024

Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?

Idris Abdulmumin, Bashir Shehu Galadanci, Garba Aliyu +1

Monolingual data, being readily available in large quantities, has been used to upscale the scarcely available parallel data to train better models for automatic translation. Self-…

cs.CL2024

A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews

Umar Ibrahim, Abubakar Yakubu Zandam, Fatima Muhammad Adam +1

Aspect-based Sentiment Analysis (ABSA) is crucial for understanding sentiment nuances in text, especially across diverse languages and cultures. This paper introduces a novel Deep…

cond-mat.supr-con2022★ 14 cited

Tuning Superconductivity and Charge Density Wave Order in 2H-TaSe2 by Modulating the Van Hove Singularity

Mukhtar Lawan Adam, Ibrahim Buba Garba, Abba Alhaji Bala +3

Tantalum diselenide (TaSe2) is an exciting material that hosts charge density wave order (CDW) and superconductivity. Thus, providing a playing field for examining the interactions…

cs.CL2022★ 8 cited

Deep Sequence Models for Text Classification Tasks

Saheed Salahudeen Abdullahi, Sun Yiming, Shamsuddeen Hassan Muhammad +5

The exponential growth of data generated on the Internet in the current information age is a driving force for the digital economy. Extraction of information is the major value in…

cs.DM2021★ 1 cited

Stochastic Graph Transformation For Social Network Modeling

Nicolas Behr, Bello Shehu Bello, Sebastian Ehmes +1

Adaptive networks model social, physical, technical, or biological systems as attributed graphs evolving at the level of both their topology and data. They are naturally described…