Almawave-SLU: A new dataset for SLU in Italian

07/17/2019
by   Valentina Bellomaria, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/11/2019

Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline

As spoken dialogue systems and chatbots are gaining more widespread adop...
research
04/04/2021

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers

This paper introduces Timers and Such, a new open source dataset of spok...
research
05/17/2023

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding

Spoken Language Understanding (SLU) is one of the core components of a t...
research
06/04/2021

Self-supervised Dialogue Learning for Spoken Conversational Question Answering

In spoken conversational question answering (SCQA), the answer to the co...
research
08/26/2022

Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers

For companies with customer service, mapping intents inside their conver...
research
05/19/2023

MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup

Current disfluency detection models focus on individual utterances each ...
research
03/25/2019

Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system

Question-answering systems and voice assistants are becoming major part ...

Please sign up or login with your details

Forgot password? Click here to reset