Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms
Published: Jul 25, 2020
Abstract
Text classification in low-resource languages (eg Thai) is of great practical value for some information retrieval applications (eg sentiment-analysis-based restaurant recommendation). Due to lacking large-scale corpus for learning comprehensive text representation, bilingual text classification which borrows the linguistics knowledge from a rich-resource language becomes a promising solution. Despite the success of bilingual methods, they...
Paper Details
Title
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms
Published Date
Jul 25, 2020
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