mlsanityData to 7 Oct 2026

Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti

arXiv 2310.10935 ↗First posted 17 Oct 2023cs.CL cs.LGcited by 3

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Abstract (arXiv)

As voice assistants cement their place in our technologically advanced society, there remains a need to cater to the diverse linguistic landscape, including colloquial forms of low-resource languages. Our study introduces the first-ever comprehensive dataset for intent detection and slot filling in formal Bangla, colloquial Bangla, and Sylheti languages, totaling 984 samples across 10 unique intents. Our analysis reveals the robustness of large language models for tackling downstream tasks with inadequate data. The GPT-3.5 model achieves an impressive F1 score of 0.94 in intent detection and 0.51 in slot filling for colloquial Bangla.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 23 of its 45 references that are in the map. First posted on arXiv 17 Oct 2023.

Builds on

23 of 45 references.

References · 23

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2021What Makes Good In-Context Examples for GPT-3?cited by 1,184
  4. 2018Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfacescited by 376
  5. 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
  6. 2022News Summarization and Evaluation in the Era of GPT-3cited by 324
  7. 2019BERT for Joint Intent Classification and Slot Fillingcited by 195
  8. 2020Data Augmentation using Pre-trained Transformer Modelscited by 168
  9. 2016Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Fillingcited by 137
  10. 2018Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialogcited by 124
  11. 2021BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Banglacited by 123
  12. 2019A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understandingcited by 106
11 more
  1. 2019A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Fillingcited by 85
  2. 2018Joint Slot Filling and Intent Detection via Capsule Neural Networkscited by 73
  3. 2020A Co-Interactive Transformer for Joint Slot Filling and Intent Detectioncited by 61
  4. 2020Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Surveycited by 51
  5. 2020BanFakeNews: A Dataset for Detecting Fake News in Banglacited by 40
  6. 2022BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Banglacited by 40
  7. 2021Intent Detection and Slot Filling for Vietnamesecited by 19
  8. 2021A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Modelscited by 13
  9. 2020Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Fillingcited by 10
  10. 2023Extending the Frontier of ChatGPT: Code Generation and Debuggingcited by 9
  11. 2023A Persian Benchmark for Joint Intent Detection and Slot Fillingcited by 2

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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024Decoding the Diversity: A Review of the Indic AI Research Landscapecited by 4
  2. 2024Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Languagecited by 2
  3. 2025Transformer-Driven Triple Fusion Framework for Enhanced Multimodal Author Intent Classification in Low-Resource Banglacited by 0