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Text-Verisimilitude-Verification-Using-Machine-Learning

This repository contains a project i developed for my Bachelor's Degree in Computer Science. It contains an ensemble model, whose aim is to detect whether a text was written by a human, or by a Language Model, such as BERT, or GPT. The model is a combination of three components: One that uses the probability density of BERT and GPT-2 to check the likelihood that one of them generated the text; One that uses a simple SVM as a classifier; And the third one, called SC-Net, that uses the semantic coherence of the input text, obtained via the hidden weights of a pre-trained GRU Language Model, as an input to a CNN that acts as the classifier.

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