Reducing the Cost of Dialogue System Training and Evaluation with Online, Crowd-Sourced Dialogue Data Collection

Abstract

This paper presents and analyzes an approach to crowd-sourced spoken dialogue data collection. Our approach enables low cost collection of browser-based spoken dialogue interactions between two remote human participants (human-human condition) as well as one remote human participant and an automated dialogue system (human-agent condition). We present a case… (More)

Topics

9 Figures and Tables

Statistics

0102030201520162017
Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Manuvinakurike2015ReducingTC, title={Reducing the Cost of Dialogue System Training and Evaluation with Online, Crowd-Sourced Dialogue Data Collection}, author={Ramesh R. Manuvinakurike and Maike Paetzel and David DeVault}, year={2015} }