mlsanityData to 7 Oct 2026

A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems

arXiv 2207.02657 ↗First posted 6 Jul 2022cs.CLcited by 6

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Abstract (arXiv)

A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems, Co-located with EMNLP2022 SereTOD Workshop.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 11 of its 21 references that are in the map. First posted on arXiv 6 Jul 2022.

Builds on

11 of 21 references.

References · 11

  1. 2020A Simple Language Model for Task-Oriented Dialoguecited by 331
  2. 2016A Network-based End-to-End Trainable Task-oriented Dialogue Systemcited by 252
  3. 2016Neural Belief Tracker: Data-Driven Dialogue State Trackingcited by 142
  4. 2019Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Contextcited by 99
  5. 2020Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Accesscited by 58
  6. 2020A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learningcited by 47
  7. 2019How to Build User Simulators to Train RL-based Dialog Systemscited by 44
  8. 2018Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systemscited by 42
  9. 2017An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialogcited by 17
  10. 2021Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systemscited by 13
  11. 2019Flexibly-Structured Model for Task-Oriented Dialoguescited by 10

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Cited by year

Citing papers per year: 2022: 3; 2023: 1; 2024: 1; 2025: 1.

6 papers.