most citedCrosslingual Document Embedding as Reduced-Rank Ridge Regression

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cs.CL2022

Modelling the semantics of text in complex document layouts using graph transformer networks

Thomas Roland Barillot, Jacob Saks, Polena Lilyanova +5

Representing structured text from complex documents typically calls for different machine learning techniques, such as language models for paragraphs and convolutional neural netwo…

cs.CL2019★ 14 cited

Crosslingual Document Embedding as Reduced-Rank Ridge Regression

Martin Josifoski, Ivan S. Paskov, Hristo S. Paskov +2

There has recently been much interest in extending vector-based word representations to multiple languages, such that words can be compared across languages. In this paper, we shif…