mlsanityData to 7 Oct 2026

SF-DST: Few-Shot Self-Feeding Reading Comprehension Dialogue State Tracking with Auxiliary Task

arXiv 2209.07742 ↗First posted 16 Sep 2022cs.CLcited by 2

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Abstract (arXiv)

Few-shot dialogue state tracking (DST) model tracks user requests in dialogue with reliable accuracy even with a small amount of data. In this paper, we introduce an ontology-free few-shot DST with self-feeding belief state input. The self-feeding belief state input increases the accuracy in multi-turn dialogue by summarizing previous dialogue. Also, we newly developed a slot-gate auxiliary task. This new auxiliary task helps classify whether a slot is mentioned in the dialogue. Our model achieved the best score in a few-shot setting for four domains on multiWOZ 2.0.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 17 of its 24 references that are in the map. First posted on arXiv 16 Sep 2022.

Builds on

17 of 24 references.

References · 17

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
  3. 2020A Simple Language Model for Task-Oriented Dialoguecited by 331
  4. 2019Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systemscited by 215
  5. 2021Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue Systemcited by 139
  6. 2020TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Trackingcited by 130
  7. 2020MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systemscited by 103
  8. 2019Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Trackingcited by 75
  9. 2020Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Trackingcited by 65
  10. 2020From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gapcited by 40
  11. 2019Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answeringcited by 39
  12. 2019BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformercited by 37
5 more
  1. 2021Zero-shot Generalization in Dialog State Tracking through Generative Question Answeringcited by 33
  2. 2020MA-DST: Multi-Attention Based Scalable Dialog State Trackingcited by 24
  3. 2018Multi-task learning for Joint Language Understanding and Dialogue State Trackingcited by 15
  4. 2020Modeling Long Context for Task-Oriented Dialogue State Generationcited by 8
  5. 2021Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversationscited by 6

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Cited by year

Citing papers per year: 2023: 1; 2024: 1.

2 papers.

  1. 2024Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPTcited by 3
  2. 2023DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsingcited by 0