Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling

Abstract

Extracting parts of a text document relevant to a class label is a critical information retrieval task. We propose a semi-supervised multi-label topic model for jointly achieving document and sentence-level class inferences. Under our model, each sentence is associated with only a subset of the document's labels (including possibly none of them), with the… (More)
DOI: 10.1145/2983323.2983752

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