Almawave-SLU: A new dataset for SLU in Italian

The widespread use of conversational and question answering systems made it necessary to improve the performances of speaker intent detection and understanding of related semantic slots, i.e., Spoken Language Understanding (SLU). Often, these tasks are approached with supervised learning methods, wh...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2019-07
Main Authors: Bellomaria, Valentina, Castellucci, Giuseppe, Favalli, Andrea, Romagnoli, Raniero
Format: Article
Language:English
Subjects:
Datasets
Performance enhancement
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The widespread use of conversational and question answering systems made it necessary to improve the performances of speaker intent detection and understanding of related semantic slots, i.e., Spoken Language Understanding (SLU). Often, these tasks are approached with supervised learning methods, which needs considerable labeled datasets. This paper presents the first Italian dataset for SLU. It is derived through a semi-automatic procedure and is used as a benchmark of various open source and commercial systems.
ISSN:2331-8422