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            <title>Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue</title>
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            <namePart type="given">Kristiina</namePart>
            <namePart type="family">Jokinen</namePart>
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        <name type="personal">
            <namePart type="given">Manfred</namePart>
            <namePart type="family">Stede</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Adversarial evaluation for open-domain dialogue generation
%A Bruni, Elia
%A Fernández, Raquel
%Y Jokinen, Kristiina
%Y Stede, Manfred
%Y DeVault, David
%Y Louis, Annie
%S Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
%D 2017
%8 August
%I Association for Computational Linguistics
%C Saarbrücken, Germany
%F bruni-fernandez-2017-adversarial
%X 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.
%R 10.18653/v1/W17-5534
%U https://aclanthology.org/W17-5534
%U https://doi.org/10.18653/v1/W17-5534
%P 284-288

Markdown (Informal)

[Adversarial evaluation for open-domain dialogue generation](https://aclanthology.org/W17-5534) (Bruni & Fernández, SIGDIAL 2017)

• Adversarial evaluation for open-domain dialogue generation (Bruni & Fernández, SIGDIAL 2017)

ACL

• Elia Bruni and Raquel Fernández. 2017. Adversarial evaluation for open-domain dialogue generation. In Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, pages 284–288, Saarbrücken, Germany. Association for Computational Linguistics.