Papers by Alessandra Zarcone

1 papers
PATE: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain (2020.lrec-1)

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Challenge: In the voice assistant domain, temporal expression recognition is a key module for AI voice assistants, but research on temporal recognition has focused on data from the news, the clinical domain, and social media.
Approach: They propose a crowdsourcing method for eliciting natural-language commands containing temporal expressions for an AI voice assistant by using pictures and scenario descriptions.
Outcome: The proposed method elicits natural-language commands containing temporal expressions using pictures and scenario descriptions.

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