Emora STDM: A Versatile Framework for Innovative Dialogue System Development
June 11, 2020 ยท Declared Dead ยท ๐ SIGDIAL Conferences
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Authors
James D. Finch, Jinho D. Choi
arXiv ID
2006.06143
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
6
Venue
SIGDIAL Conferences
Last Checked
5 months ago
Abstract
This demo paper presents Emora STDM (State Transition Dialogue Manager), a dialogue system development framework that provides novel workflows for rapid prototyping of chat-based dialogue managers as well as collaborative development of complex interactions. Our framework caters to a wide range of expertise levels by supporting interoperability between two popular approaches, state machine and information state, to dialogue management. Our Natural Language Expression package allows seamless integration of pattern matching, custom NLP modules, and database querying, that makes the workflows much more efficient. As a user study, we adopt this framework to an interdisciplinary undergraduate course where students with both technical and non-technical backgrounds are able to develop creative dialogue managers in a short period of time.
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