Adversarial evaluation for open-domain dialogue generation. Bruni, E. & Fernández, R. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 284–288, Saarbrücken, Germany, August, 2017. Association for Computational Linguistics.
Paper doi abstract bibtex 1 download We investigate the potential of adversarial evaluation methods for open-domain dialogue generation systems, comparing the performance of a discriminative agent to that of humans on the same task. Our results show that the task is hard, both for automated models and humans, but that a discriminative agent can learn patterns that lead to above-chance performance.
@inproceedings{bruni-fernandez-2017-adversarial,
title = "Adversarial evaluation for open-domain dialogue generation",
author = "Bruni, Elia and
Fern{\'a}ndez, Raquel",
booktitle = "Proceedings of the 18th Annual {SIG}dial Meeting on Discourse and Dialogue",
month = aug,
year = "2017",
address = {Saarbr{\"u}cken, Germany},
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5534.pdf",
doi = "10.18653/v1/W17-5534",
pages = "284--288",
abstract = "We investigate the potential of adversarial evaluation methods for open-domain dialogue generation systems, comparing the performance of a discriminative agent to that of humans on the same task. Our results show that the task is hard, both for automated models and humans, but that a discriminative agent can learn patterns that lead to above-chance performance.",
}
Downloads: 1
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