mlsanityData to 14 Oct 2026

Bootstrapping a User-Centered Task-Oriented Dialogue System

arXiv 2207.05223 ↗First posted 11 Jul 2022cs.CL cs.AI cs.LGcited by 4

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Abstract (arXiv)

We present TacoBot, a task-oriented dialogue system built for the inaugural Alexa Prize TaskBot Challenge, which assists users in completing multi-step cooking and home improvement tasks. TacoBot is designed with a user-centered principle and aspires to deliver a collaborative and accessible dialogue experience. Towards that end, it is equipped with accurate language understanding, flexible dialogue management, and engaging response generation. Furthermore, TacoBot is backed by a strong search engine and an automated end-to-end test suite. In bootstrapping the development of TacoBot, we explore a series of data augmentation strategies to train advanced neural language processing models and continuously improve the dialogue experience with collected real conversations. At the end of the semifinals, TacoBot achieved an average rating of 3.55/5.0.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 12 of its 13 references that are in the map. First posted on arXiv 11 Jul 2022.

Builds on

12 of 13 references.

References · 12

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  5. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,148
  6. 2018Know What You Don't Know: Unanswerable Questions for SQuADcited by 1,554
  7. 2020UnifiedQA: Crossing Format Boundaries With a Single QA Systemcited by 476
  8. 2019Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Datasetcited by 434
  9. 2021GPT3Mix: Leveraging Large-scale Language Models for Text Augmentationcited by 187
  10. 2020Data Augmentation using Pre-trained Transformer Modelscited by 168
  11. 2018Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prizecited by 29
  12. 2018Detecting Offensive Content in Open-domain Conversations using Two Stage Semi-supervisioncited by 6

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 2.

4 papers.

  1. 2026MemAudit: Auditing Long-Term Agent Memory via Hidden User-State Recoverycited by 6
  2. 2023CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistantscited by 5
  3. 2023Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue Systemcited by 5
  4. 2026Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental Statescited by 1