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

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.
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