MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training

Arkady Arkhangorodsky; Amittai Axelrod; Christopher Chu; Scot Fang; Yiqi Huang; Ajay Nagesh; Xing Shi; Boliang Zhang; Kevin Knight

MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training

Computation and Language 2020-10-13 v1

Authors: Arkady Arkhangorodsky , Amittai Axelrod , Christopher Chu , Scot Fang , Yiqi Huang , Ajay Nagesh , Xing Shi , Boliang Zhang , Kevin Knight

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Abstract

We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-button environment. We include facilities for collecting human-human dialog corpora, and for training automatic agents in an end-to-end fashion. We demonstrate MEEP with a dialog assistant that lets users specify trip destinations.

Keywords

dialogue systems multi-agent systems human-computer interaction

Cite

@article{arxiv.2010.04747,
  title  = {MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training},
  author = {Arkady Arkhangorodsky and Amittai Axelrod and Christopher Chu and Scot Fang and Yiqi Huang and Ajay Nagesh and Xing Shi and Boliang Zhang and Kevin Knight},
  journal= {arXiv preprint arXiv:2010.04747},
  year   = {2020}
}

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10 pages

MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training

Abstract

Keywords

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