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Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…
A sandbox for fast image classification experiments. Define a custom network architecture using provided building blocks in seconds, then run an experiment!
The objective here is to study the plausibility of attention mechanisms in automatic language processing on an NLI (natural naguage inference) task, in transformers (BERT) architecture
The work presented was developed during the internship, as researchers in the field of Natural Language Generation, at the Insid&s Lab laboratory in Milan-Bicocca. The work carried out deals with the creation of a framework for the correct assessment of the impact of the quality of the input datasets on the quality of the text generated by the N…