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

Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu

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 labels. Existing methods tend to ignore the relationship among labels. In this paper, a graph attention network-based model is proposed to capture the attentive dependency structure among the labels. The graph attention network uses a feature matrix and a correlation matrix to capture and explore the crucial dependencies between the labels and generate classifiers for the task. The generated classifiers are applied to sentence feature vectors obtained from the text feature extraction network(BiLSTM) to enable end-to-end training. Attention allows the system to assign different weights to neighbor nodes per label, thus allowing it to learn the dependencies among labels implicitly. The results of the proposed model are validated on five real-world MLTC datasets. The proposed model achieves similar or better performance compared to the previous state-of-the-art models.

Download


Paper Citation


in Harvard Style

Pal A., Selvakumar M. and Sankarasubbu M. (2020). MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 494-505. DOI: 10.5220/0008940304940505


in Bibtex Style

@conference{icaart20,
author={Ankit Pal and Muru Selvakumar and Malaikannan Sankarasubbu},
title={MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={494-505},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008940304940505},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network
SN - 978-989-758-395-7
AU - Pal A.
AU - Selvakumar M.
AU - Sankarasubbu M.
PY - 2020
SP - 494
EP - 505
DO - 10.5220/0008940304940505