Multi-label text classification using attention-based graph neural network

A Pal, M Selvakumar, M Sankarasubbu - arXiv preprint arXiv:2003.11644, 2020 - arxiv.org
In Multi-Label Text Classification (MLTC), one sample can belong to more than one class. It
is observed that most MLTC tasks, there are dependencies or correlations among labels …
被引用次数：123 相关文章
[PDF] researchgate.net

[PDF][PDF] MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network

A Pal, M Selvakumar, M Sankarasubbu - 2020 - researchgate.net
In Multi-Label Text Classification (MLTC), one sample can belong to more than one class. It
is observed that most MLTC tasks, there are dependencies or correlations among labels …
[PDF] scitepress.org

[PDF][PDF] MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network

A Pal, M Selvakumar, M Sankarasubbu - 2022 - scitepress.org
In Multi-Label Text Classification (MLTC), one sample can belong to more than one class. It
is observed that most MLTC tasks, there are dependencies or correlations among labels …

Multi-Label Text Classification using Attention-based Graph Neural Network

A Pal, M Selvakumar, M Sankarasubbu - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Abstract In Multi-Label Text Classification (MLTC), one sample can belong to more than one
class. It is observed that most MLTC tasks, there are dependencies or correlations among …
[PDF] scitepress.org

[PDF][PDF] MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network

A Pal, M Selvakumar, M Sankarasubbu - 2022 - scitepress.org
In Multi-Label Text Classification (MLTC), one sample can belong to more than one class. It
is observed that most MLTC tasks, there are dependencies or correlations among labels …