mlsanityData to 7 Oct 2026

A Persian Benchmark for Joint Intent Detection and Slot Filling

arXiv 2303.00408 ↗First posted 1 Mar 2023cs.CLcited by 2

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Abstract (arXiv)

Natural Language Understanding (NLU) is important in today's technology as it enables machines to comprehend and process human language, leading to improved human-computer interactions and advancements in fields such as virtual assistants, chatbots, and language-based AI systems. This paper highlights the significance of advancing the field of NLU for low-resource languages. With intent detection and slot filling being crucial tasks in NLU, the widely used datasets ATIS and SNIPS have been utilized in the past. However, these datasets only cater to the English language and do not support other languages. In this work, we aim to address this gap by creating a Persian benchmark for joint intent detection and slot filling based on the ATIS dataset. To evaluate the effectiveness of our benchmark, we employ state-of-the-art methods for intent detection and slot filling.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 15 of its 30 references that are in the map. First posted on arXiv 1 Mar 2023.

Builds on

15 of 30 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020AraBERT: Transformer-based Model for Arabic Language Understandingcited by 359
  3. 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
  4. 2019BERT for Joint Intent Classification and Slot Fillingcited by 195
  5. 2016Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Fillingcited by 137
  6. 2019A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Fillingcited by 85
  7. 2020End-to-End Slot Alignment and Recognition for Cross-Lingual NLUcited by 82
  8. 2020A Co-Interactive Transformer for Joint Slot Filling and Intent Detectioncited by 61
  9. 2021A Survey on Spoken Language Understanding: Recent Advances and New Frontierscited by 53
  10. 2019Hierarchically-Refined Label Attention Network for Sequence Labelingcited by 25
  11. 2021Intent Detection and Slot Filling for Vietnamesecited by 19
  12. 2022PQuAD: A Persian Question Answering Datasetcited by 14
3 more
  1. 2020Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understandingcited by 7
  2. 2020DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpuscited by 7
  3. 2021PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graphcited by 4

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Cited by year

Citing papers per year: 2023: 2.

2 papers.

  1. 2023Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheticited by 3
  2. 2023A Hybrid Architecture for Out of Domain Intent Detection and Intent Discoverycited by 2