Deep active learning for multi label text classification [PDF]
Scientific ReportsGiven a set of labels, multi-label text classification (MLTC) aims to assign multiple relevant labels for a text. Recently, deep learning models get inspiring results in MLTC.
Qunbo Wang +5 more
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Hierarchical contrastive learning for multi-label text classification [PDF]
Scientific ReportsMulti-label text classification presents a significant challenge within the field of text classification, particularly due to the hierarchical nature of labels, where labels are organized in a tree-like structure that captures parent-child and sibling ...
Wei Zhang +3 more
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A novel transformer-based semantic feature extraction method for multi-label text classification [PDF]
Scientific ReportsMulti-label text classification is a critical task in natural language processing, in which each document may belong to multiple categories. This setting is challenging, as it involves complex label dependencies and requires extracting fine-grained ...
Liqun Xiao, JiaShu Zhang
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Label prompt for multi-label text classification
Applied Intelligence, 2022 One of the key problems in multi-label text classification is how to take advantage of the correlation among labels. However, it is very challenging to directly model the correlations among labels in a complex and unknown label space. In this paper, we propose a Label Mask multi-label text classification model (LM-MTC), which is inspired by the idea of
Zelong Liu, Liu Zelong
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HMATC: Hierarchical multi-label Arabic text classification model using machine learning
Egyptian Informatics Journal, 2021 Multi-label classification assigns multiple labels to each document concurrently. Many real-world classification problems tend to employ high-dimensional label spaces, which can be naturally structured in a hierarchy.
Nawal Aljedani +2 more
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A Survey of Multi-Label Text Classification Under Few-Shot Scenarios
Applied SciencesMulti-label text classification is a fundamental and important task in natural language processing, with widespread applications in specialized domains such as sentiment analysis, legal document classification, and medical coding.
Wenlong Hu +5 more
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Research on Multi-label Text Classification Method Based on tALBERT-CNN [PDF]
International Journal of Computational Intelligence Systems, 2021 Jianmin Pang, Wenfu Liu
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Review on Multi-lable Classification [PDF]
Jisuanji kexue yu tansuo, 2023 Multi-label classification refers to the classification problem where multiple labels may coexist in a single sample. It has been widely applied in fields such as text classification, image classification, music and video classification.
LI Dongmei, YANG Yu, MENG Xianghao, ZHANG Xiaoping, SONG Chao, ZHAO Yufeng
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Hierarchical Multi-label Text Classification Algorithm Based on Parallel Convolutional Network Information Fusion [PDF]
Jisuanji kexue, 2023 Natural language processing(NLP) is an important research direction in the field of artificial intelligence and machine learning,which aims to use computer technology to analyze,understand,and process natural language.One of the main research areas in ...
YI Liu, GENG Xinyu, BAI Jing
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Label Clustering for a Novel Problem Transformation in Multi-label Classification [PDF]
Journal of Universal Computer Science, 2020 Document classification is a large body of search, many approaches were proposed for single label and multi-label classification. We focus on the multi-label classification more precisely those methods that transformation multi-label classification into ...
Smail Sellah, Vincent Hilaire
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