An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models
Abstract
Probabilistic topic modeling is a common first step in crosslingual tasks to enable knowledge transfer and extract multilingual features. Although many multilingual topic models have been developed, their assumptions about the training corpus are quite varied, and it is not clear how well the different models can be utilized under various training conditions. In this article, the knowledge transfer mechanisms behind different multilingual topic...
Paper Details
Title
An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models
Published Date
Mar 1, 2020
Journal
Volume
46
Issue
1
Pages
95 - 134
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