Papers by Andrea Zammarchi

1 papers
NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation (2022.coling-1)

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Challenge: Natural language generation models are a key component of deep learning, says aaron eliott . he says it is crucial to develop and apply better metrics for NLG evaluation .
Approach: a new open-source library for NLG evaluation is created to facilitate researchers to judge the effectiveness of their models. the framework provides a living collection of NLG metrics in a unified and easy-to-use environment.
Outcome: a new open-source library for NLG evaluation aims to improve performance of models . the framework provides tools to apply, analyze, compare, and visualize the metrics .

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