Cluster-based prediction of user ratings for stylistic surface realisation

Nina Dethlefs, Heriberto Cuayáhuitl, Helen Hastie, Verena Rieser, Oliver Lemon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Surface realisations typically depend on their target style and audience. A challenge in estimating a stylistic realiser from data is that humans vary significantly in their subjective perceptions of linguistic forms and styles, leading to almost no correlation between ratings of the same utterance. We address this problem in two steps. First, we estimate a mapping function between the linguistic features of a corpus of utterances and their human style ratings. Users are partitioned into clusters based on the similarity of their ratings, so that ratings for new utterances can be estimated, even for new, unknown users. In a second step, the estimated model is used to re-rank the outputs of a number of surface realisers to produce stylistically adaptive output. Results confirm that the generated styles are recognisable to human judges and that predictive models based on clusters of users lead to better rating predictions than models based on an average population of users.

Original languageEnglish
Title of host publicationProceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
PublisherAssociation for Computational Linguistics
Pages702-711
Number of pages10
ISBN (Print)9781937284787
DOIs
Publication statusPublished - Apr 2014
Event14th Conference of the European Chapter of the Association for Computational Linguistics 2014 - Gothenburg, United Kingdom
Duration: 26 Apr 201430 Apr 2014

Conference

Conference14th Conference of the European Chapter of the Association for Computational Linguistics 2014
Abbreviated titleEACL 2014
CountryUnited Kingdom
CityGothenburg
Period26/04/1430/04/14

ASJC Scopus subject areas

  • Software

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  • Cite this

    Dethlefs, N., Cuayáhuitl, H., Hastie, H., Rieser, V., & Lemon, O. (2014). Cluster-based prediction of user ratings for stylistic surface realisation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 702-711). Association for Computational Linguistics. https://doi.org/10.3115/v1/E14-1074