# Almawave-SLU: A new dataset for SLU in Italian

Source: [Almawave-SLU: A new dataset for SLU in Italian](<https://www.sota2.com/research/paper/68fa66161e209131cea0e345>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:42:29.976Z

Authors: Valentina Bellomaria, Giuseppe Castellucci, Andrea Favalli, Raniero Romagnoli

Published: 2019-07-17T13:52:54.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1907.07526>)

[PDF](<https://arxiv.org/pdf/1907.07526.pdf>)