Papers by Matteo Antonio Senese

1 papers
MTSI-BERT: A Session-aware Knowledge-based Conversational Agent (2020.lrec-1)

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Challenge: Several models have been published achieving promising results in all the major linguistic tasks.
Approach: They propose to exploit a BERT-based model to handle multi-turn conversations . they propose to use PuffBot to monitor asthma patients .
Outcome: The proposed model can handle multi-turn conversations, a type of conversations that differs from single-turn by the presence of multiple related interactions.

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