• Corpus ID: 24831380

Building a Conversational Agent Overnight with Dialogue Self-Play

@article{Shah2018BuildingAC,
  title={Building a Conversational Agent Overnight with Dialogue Self-Play},
  author={Pararth Shah and Dilek Z. Hakkani-T{\"u}r and G{\"o}khan T{\"u}r and Abhinav Rastogi and Ankur Bapna and Neha Nayak Kennard and Larry Heck},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.04871}
}
We propose Machines Talking To Machines (M2M), a framework combining automation and crowdsourcing to rapidly bootstrap end-to-end dialogue agents for goal-oriented dialogues in arbitrary domains. [] Key Method In the first phase, a simulated user bot and a domain-agnostic system bot converse to exhaustively generate dialogue "outlines", i.e. sequences of template utterances and their semantic parses.

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