SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet

no code implementations • COLING (TextGraphs) 2022 • Paul Trust, Provia Kadusabe, Haseeb Younis, Rosane Minghim, Evangelos Milios, Ahmed Zahran

This paper describes our system for the submission to the TextGraphs 2022 shared task at COLING 2022: Natural Language Premise Selection (NLPS) from mathematical texts.

Mathematical Proofs Semantic Similarity +2

Understanding High Dimensional Spaces through Visual Means Employing Multidimensional Projections

no code implementations • 12 Jul 2022 • Haseeb Younis, Paul Trust, Rosane Minghim

The results, supported by illustrative methods of the processes of LSP and t-SNE, are meant to inspire students in understanding the mathematics behind such methods, in order to apply them in effective data analysis tasks in multiple applications.

Vocal Bursts Intensity Prediction