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GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations

arXiv 2208.14884 ↗First posted 31 Aug 2022cs.CL cs.AIcited by 0

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Abstract (arXiv)

GRILLBot is the winning system in the 2022 Alexa Prize TaskBot Challenge, moving towards the next generation of multimodal task assistants. It is a voice assistant to guide users through complex real-world tasks in the domains of cooking and home improvement. These are long-running and complex tasks that require flexible adjustment and adaptation. The demo highlights the core aspects, including a novel Neural Decision Parser for contextualized semantic parsing, a new "TaskGraph" state representation that supports conditional execution, knowledge-grounded chit-chat, and automatic enrichment of tasks with images and videos.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 10 references that are in the map. First posted on arXiv 31 Aug 2022.

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References · 6

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 766
  5. 2020Task-Oriented Dialogue as Dataflow Synthesiscited by 122
  6. 2021SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversationscited by 56

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