Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6925842 | ICT Express | 2018 | 4 Pages |
Abstract
This paper suggests a variation of a well-known probabilistic matrix factorization algorithm which is commonly used in data analysis and scientific computing, and which has been considered recently to serve natural language processing. The proposed variation is meant to take benefit from the fact that matrices processed in natural language processing tasks are normally sparse rectangular matrices with one dimension much larger than the other, and this can be used to ensure adequate accuracy with acceptable computation time. Preliminary experiments on real-world textual corpora show that the proposed algorithm achieves relevant improvements compared to the original one.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Gianmaria Tarantino, Stefania Monica, Federico Bergenti,