mlsanityData to 7 Oct 2026

Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model

arXiv 1907.02884 ↗First posted 5 Jul 2019cs.CL cs.LGcited by 24

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Abstract (arXiv)

Intent Detection and Slot Filling are two pillar tasks in Spoken Natural Language Understanding. Common approaches adopt joint Deep Learning architectures in attention-based recurrent frameworks. In this work, we aim at exploiting the success of "recurrence-less" models for these tasks. We introduce Bert-Joint, i.e., a multi-lingual joint text classification and sequence labeling framework. The experimental evaluation over two well-known English benchmarks demonstrates the strong performances that can be obtained with this model, even when few annotated data is available. Moreover, we annotated a new dataset for the Italian language, and we observed similar performances without the need for changing the model.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jul 2019.

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Citing papers per year: 2021: 10; 2022: 7; 2023: 0; 2024: 2; 2025: 4; 2026: 1.

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  1. 2021A Survey on Spoken Language Understanding: Recent Advances and New Frontierscited by 53
  2. 2021From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understandingcited by 43
  3. 2022A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methodscited by 42
  4. 2022Cross-Lingual Dialogue Dataset Creation via Outline-Based Generationcited by 23
  5. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 16
  6. 2021CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detectioncited by 14
  7. 2021X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answeringcited by 10
  8. 2022Towards Relation Extraction From Speechcited by 10
  9. 2022Cross-lingual Lifelong Learningcited by 9
  10. 2024Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuningcited by 7
  11. 2025On-Device LLMs for Home Assistant: Dual Role in Intent Detection and Response Generationcited by 7
  12. 2022Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Losscited by 2
12 more
  1. 2022Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformerscited by 2
  2. 2024New Semantic Task for the French Spoken Language Understanding MEDIA Benchmarkcited by 2
  3. 2021Transfer Learning for Multi-lingual Tasks -- a Surveycited by 1
  4. 2021A Review of Dialogue Systems: From Trained Monkeys to Stochastic Parrotscited by 1
  5. 2021A survey of joint intent detection and slot-filling models in natural language understandingcited by 0
  6. 2021Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classificationcited by 0
  7. 2021Controllable Response Generation for Assistive Use-casescited by 0
  8. 2022Spoken Language Understanding for Conversational AI: Recent Advances and Future Directioncited by 0
  9. 2025Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Predictioncited by 0
  10. 2025Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learningcited by 0
  11. 2025Future of AI Models: A Computational perspective on Model collapsecited by 0
  12. 2026ESAinsTOD: A Unified End-to-End Schema-Aware Instruction-Tuning Framework for Task-Oriented Dialog Modelingcited by 0