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Correcting Texts Generated by Transformers using Discourse Features and Web Mining
We address both of these flaws: they are independent but can be combined to generate original texts that will be both consistent and truthful.
DSNDM: Deep Siamese Neural Discourse Model with Attention for Text Pairs Categorization and Ranking
To this end, the neural TreeLSTM model is modified to effectively encode discourse trees and DSNDM model based on it is suggested to analyze pairs of texts.
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