Search Results for author: Likun Lei

Found 2 papers, 0 papers with code

Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification

no code implementations2 Apr 2022 Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei

Extreme multi-label text classification (XMTC) is the task of tagging each document with the relevant labels from a very large space of predefined categories.

Multi Label Text Classification Multi-Label Text Classification +1

Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions

no code implementations2 Apr 2022 Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei

Extreme Multi-label Text Classification (XMTC) has been a tough challenge in machine learning research and applications due to the sheer sizes of the label spaces and the severe data scarce problem associated with the long tail of rare labels in highly skewed distributions.

Multi Label Text Classification Multi-Label Text Classification +3

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