Modeling Linguistic and Personality Adaptation for Natural Language Generation

Zhichao Hu, Jean Fox Tree, Marilyn Walker


Abstract
Previous work has shown that conversants adapt to many aspects of their partners’ language. Other work has shown that while every person is unique, they often share general patterns of behavior. Theories of personality aim to explain these shared patterns, and studies have shown that many linguistic cues are correlated with personality traits. We propose an adaptation measure for adaptive natural language generation for dialogs that integrates the predictions of both personality theories and adaptation theories, that can be applied as a dialog unfolds, on a turn by turn basis. We show that our measure meets criteria for validity, and that adaptation varies according to corpora and task, speaker, and the set of features used to model it. We also produce fine-grained models according to the dialog segmentation or the speaker, and demonstrate the decaying trend of adaptation.
Anthology ID:
W18-5003
Volume:
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venues:
SIGDIAL | WS
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
20–31
Language:
URL:
https://aclanthology.org/W18-5003
DOI:
10.18653/v1/W18-5003
Bibkey:
Cite (ACL):
Zhichao Hu, Jean Fox Tree, and Marilyn Walker. 2018. Modeling Linguistic and Personality Adaptation for Natural Language Generation. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, pages 20–31, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Modeling Linguistic and Personality Adaptation for Natural Language Generation (Hu et al., 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-5003.pdf