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04/23/2023
Graph Neural Networks for Text Classification: A Survey
Text Classification is the most essential and fundamental problem in Nat...
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06/01/2022
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification
Text classification aims to assign labels to textual units by making use...
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04/10/2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
Compared to sequential learning models, graph-based neural networks exhi...
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03/30/2022
Understanding Graph Convolutional Networks for Text Classification
Graph Convolutional Networks (GCN) have been effective at tasks that hav...
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06/11/2021
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Traditional toxicity detection models have focused on the single utteran...
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10/08/2020
Detect All Abuse! Toward Universal Abusive Language Detection Models
Online abusive language detection (ALD) has become a societal issue of i...
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10/07/2020
