most citedComparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2019

Question Generation by Transformers

Kettip Kriangchaivech, Artit Wangperawong

A machine learning model was developed to automatically generate questions from Wikipedia passages using transformers, an attention-based model eschewing the paradigm of existing r…

stat.ML2018★ 1 cited

Comparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions

Artit Wangperawong, Kettip Kriangchaivech, Austin Lanari +2

To compare entities of differing types and structural components, the artificial neural network paradigm was used to cross-compare structural components between heterogeneous docum…