Search Results for author: Daniele Amberti

Found 1 papers, 0 papers with code

Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems

no code implementations COLING 2020 Enrico Palumbo, Andrea Mezzalira, Cristina Marco, Alessandro Manzotti, Daniele Amberti

In this paper, we introduce the task of generating a test set with high semantic diversity for NLU evaluation in dialog systems and we describe an approach to address it.

Clustering Natural Language Understanding

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