Paper: Crowdsourcing Language Generation Templates for Dialogue Systems

ACL ID W14-5003
Title Crowdsourcing Language Generation Templates for Dialogue Systems
Venue INLG and SIGDIAL 2014 Joint Session
Session
Year 2014
Authors

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.