SOTAVerified

Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References

2019-07-24WS 2019Code Available0· sign in to hype

Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskenazi, Jeffrey P. Bigham

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

The aim of this paper is to mitigate the shortcomings of automatic evaluation of open-domain dialog systems through multi-reference evaluation. Existing metrics have been shown to correlate poorly with human judgement, particularly in open-domain dialog. One alternative is to collect human annotations for evaluation, which can be expensive and time consuming. To demonstrate the effectiveness of multi-reference evaluation, we augment the test set of DailyDialog with multiple references. A series of experiments show that the use of multiple references results in improved correlation between several automatic metrics and human judgement for both the quality and the diversity of system output.

Tasks

Reproductions