Search Results for author: Samir Salman

Found 2 papers, 0 papers with code

Every time I fire a conversational designer, the performance of the dialogue system goes down

no code implementations LREC 2022 Giancarlo Xompero, Michele Mastromattei, Samir Salman, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto

In fact, rules from conversational designers used in CLINN significantly outperform a state-of-the-art neural-based dialogue system when trained with smaller sets of annotated dialogues.

Task-Oriented Dialogue Systems

Every time I fire a conversational designer, the performance of the dialog system goes down

no code implementations27 Sep 2021 Giancarlo A. Xompero, Michele Mastromattei, Samir Salman, Cristina Giannone, Andrea Favalli, Raniero Romagnoli, Fabio Massimo Zanzotto

Incorporating explicit domain knowledge into neural-based task-oriented dialogue systems is an effective way to reduce the need of large sets of annotated dialogues.

Task-Oriented Dialogue Systems

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