Meta-complementing the semantics of short texts in neural topic models

Topic models infer latent topic distributions based on observed word co-occurrences in a text corpus. While typically a corpus contains documents of variable lengths, most previous topic models treat documents of different lengths uniformly, assuming that each document is sufficiently informative. H...

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Bibliographic Details
Main Authors: ZHANG, Ce, LAUW, Hady Wirawan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7609
https://ink.library.smu.edu.sg/context/sis_research/article/8612/viewcontent/neurips22.pdf
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Institution: Singapore Management University
Language: English