mlsanityData to 14 Oct 2026

An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification

arXiv 1912.09297 ↗First posted 19 Dec 2019cs.CLcited by 20

Not on the map. Why?

Abstract (arXiv)

This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking. The goal of this task is to predict the intents and slots in each user turn to complete the dialogue state tracking (DST) based on the information provided by the task's schema. Different from traditional stage-wise DST, we propose an end-to-end DST system to avoid error accumulation between the dialogue turns. The DST system consists of a machine reading comprehension (MRC) model for non-categorical slots and a Wide & Deep model for categorical slots. As far as we know, this is the first time that MRC and Wide & Deep model are applied to DST problem in a fully end-to-end way. Experimental results show that our framework achieves an excellent performance on the test dataset including 50% zero-shot services with a joint goal accuracy of 0.8652 and a slot tagging F1-Score of 0.9835.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Dec 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 8; 2022: 4; 2023: 5; 2024: 3.

20 papers.

Sort:

  1. 2021Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systemscited by 75
  2. 2022Description-Driven Task-Oriented Dialog Modelingcited by 50
  3. 2021SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systemscited by 34
  4. 2021Slot Self-Attentive Dialogue State Trackingcited by 27
  5. 2023Towards LLM-driven Dialogue State Trackingcited by 25
  6. 2021Generalized Zero-shot Intent Detection via Commonsense Knowledgecited by 21
  7. 2023Exploring Zero and Few-shot Techniques for Intent Classificationcited by 21
  8. 2022Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialoguecited by 16
  9. 2022Robust Dialogue State Tracking with Weak Supervision and Sparse Datacited by 15
  10. 2021Linguistically-Enriched and Context-Aware Zero-shot Slot Fillingcited by 12
  11. 2022A Multi-Task BERT Model for Schema-Guided Dialogue State Trackingcited by 5
  12. 2024Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptationcited by 5
8 more
  1. 2021SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Servicescited by 4
  2. 2021A Dialogue-based Information Extraction System for Medical Insurance Assessmentcited by 2
  3. 2023More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Rankingcited by 2
  4. 2023Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Trackingcited by 2
  5. 2024A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understandingcited by 2
  6. 2021Improved Goal Oriented Dialogue via Utterance Generation and Look Aheadcited by 1
  7. 2023Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Featurescited by 1
  8. 2024Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Trackingcited by 1