文本分类(TC) 是自然语言处理(NLP) 领域的重要基础任务, 多标签文本分类(MLTC) 是TC
的重要分支. 为了对多标签文本分类领域进行深入了解, 介绍了多标签文本分类的概念和流程 …

Multi-label text classification (MLTC) is the process of establishing relationships between
documents and their corresponding labels. Previous research has focused on mining textual …

Chinese event detection (CED) often suffers from the problem of word-trigger mismatches
due to the absence of natural delimiters in Chinese sentences. Recently many neural …

In the field of text classification, current research ignores the role of part-of-speech features,
and the multi-channel model that can learn richer text information compared to a single …

In order to solve the current problems in domain long text classification tasks, namely, the
long length of a document, which makes it difficult for the model to capture key information …

Integrating large models (LMs) into future vehicles and transportation systems marks a
significant advancement in mobility and transportation technology. Incorporating artificial …

Multi-label text classification (MLTC) aims to assign one or more labels to each document.
Previous studies mainly use the label co-occurrence matrix obtained from the training set to …

Deep learning, a branch of artificial intelligence, is a computational model that uses multiple
layers of interconnected units (neurons) to learn intricate patterns and representations …

Multi-Label Text Classification (MLTC) is a fundamental task in the field of Natural Language
Processing (NLP) that involves the assignment of multiple labels to a given text. MLTC has …

Fault detection in distribution networks is an important means of ensuring the safe operation
of power grids. With the expansion of the scale of distribution networks, fault detection has …