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Article
Open AccessSemantic Spectral Clustering with Contrastive Learning and Neighbor Mining
Deep spectral clustering techniques are considered one of the most efficient clustering algorithms in data mining field. The similarity between instances and the disparity among classes are two critical factor...
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Article
Open AccessIntuitionistic Fuzzy Extreme Learning Machine with the Truncated Pinball Loss
Fuzzy extreme learning machine (FELM) is an effective algorithm for dealing with classification problems with noises, which uses a membership function to effectively suppress noise in data. However, FELM has t...
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Article
Open AccessDE3TC: Detecting Events with Effective Event Type Information and Context
Event Detection (ED) is a crucial information extraction task that aims to identify the event triggers and classify them into predefined event types. However, most existing methods did not perform well when pr...
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Article
Open AccessTLC-XML: Transformer with Label Correlation for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) annotates related labels for unknown text from large-scale label sets. Transformer-based methods have become the dominant approach for solving the XMTC task due t...