mlsanityData to 7 Oct 2026

Almawave-SLU: A new dataset for SLU in Italian

arXiv 1907.07526 ↗First posted 17 Jul 2019cs.CLcited by 13

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Jul 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 4; 2022: 5; 2023: 2; 2024: 2.

13 papers.

Sort:

  1. 2021From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understandingcited by 43
  2. 2021Multilingual and Cross-Lingual Intent Detection from Spoken Datacited by 35
  3. 2022Cross-Lingual Dialogue Dataset Creation via Outline-Based Generationcited by 23
  4. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 16
  5. 2022MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialoguecited by 15
  6. 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
  7. 2023ITALIC: An Italian Intent Classification Datasetcited by 10
  8. 2022Z-BERT-A: a zero-shot Pipeline for Unknown Intent detectioncited by 4
  9. 2024Domain Adaptation in Intent Classification Systems: A Reviewcited by 4
  10. 2024Speech Analysis of Language Varieties in Italycited by 3
  11. 2022A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deceptioncited by 1
  12. 2021A survey of joint intent detection and slot-filling models in natural language understandingcited by 0
1 more
  1. 2023Improving the Intent Classification accuracy in Noisy Environmentcited by 0