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Full-Text Articles in Physical Sciences and Mathematics

Software For Conformal Boundary Operators, T-Curvatures, And Conformal Fractional Laplacians Of Odd Order, Lawrence Peterson May 2019

Software For Conformal Boundary Operators, T-Curvatures, And Conformal Fractional Laplacians Of Odd Order, Lawrence Peterson

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The author has developed some new computer software and has used it, together with Mathematica and John M. Lee's Ricci software package, to construct and verify many of the symbolic formulae in the article "Conformal boundary operators, T-curvatures, and conformal fractional Laplacians of odd order," by the author and A. Rod Gover. This software is posted here, along with the Ricci package.

The author has also prepared a special guidelines file describing the new software. This guidelines file briefly describes Mathematica and Ricci as well. One should read Section 3 of the guidelines file before saving the main software file …


Contextual Word Embeddings - Trained On English Wikipedia Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher Jan 2019

Contextual Word Embeddings - Trained On English Wikipedia Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

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This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. These have been trained on real language sentences collected from the English Wikipedia. As such, they contain contextual (thematic) knowledge about words (rather than taxonomic).


Taxonomic Word Embeddings - Trained On English Wordnet Random Walk Pseudo-Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher Jan 2019

Taxonomic Word Embeddings - Trained On English Wordnet Random Walk Pseudo-Corpora, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of computational models called word embeddings. These are vectors that contain numerical representations of words. They have been trained on pseudo-sentences generated artificially from a random walk over the English WordNet taxonomy, and thus reflect taxonomic knowledge about words (rather than contextual).


English Wikipedia Corpus Chunks, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher Jan 2019

English Wikipedia Corpus Chunks, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Datasets

This archive contains a collection of language corpora. These are text files that contain samples of text collected from English Wikipedia.