-
Notifications
You must be signed in to change notification settings - Fork 1
/
2022.coling-1.40.bib
15 lines (15 loc) · 1.08 KB
/
2022.coling-1.40.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
@inproceedings{de-bruyn-etal-2022-open,
title = "Open-Domain Dialog Evaluation Using Follow-Ups Likelihood",
author = "De Bruyn, Maxime and
Lotfi, Ehsan and
Buhmann, Jeska and
Daelemans, Walter",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.40",
pages = "496--504",
abstract = "Automatic evaluation of open-domain dialogs remains an unsolved problem. Existing methods do not correlate strongly with human annotations. In this paper, we present a new automated evaluation method based on the use of follow-ups. We measure the probability that a language model will continue the conversation with a fixed set of follow-ups (e.g. not really relevant here, what are you trying to say?). When compared against twelve existing methods, our new evaluation achieves the highest correlation with human evaluations.",
}