Crowdsourcing Language Generation Templates for Dialogue Systems
Margaret A. Mitchell, Dan Bohus, Ece Semiha Kamar · 2014
We explore the use of crowdsourcing to generate natural language in spoken dia-logue systems. We introduce a method-ology to elicit novel templates from the crowd based on a dialogue seed corpus, and investigate the effect that the amount of surrounding dialogue context has on the generation task. Evaluation is performed both with a crowd and with a system de-veloper to assess the naturalness and suit-ability of the elicited phrases. Results indi-cate that the crowd is able to provide rea-sonable and diverse templates within this methodology. More work is necessary be-fore elicited templates can be automati-cally plugged into the system. 1