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Dialogue Act Taxonomy Interoperability Using a Meta-model

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Computational Linguistics and Intelligent Text Processing (CICLing 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10761))

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Abstract

Dialogue act taxonomies, such as those of DAMSL, DiAML or the HCRC dialogue structure, can be incorporated into a larger meta-model by breaking down their labels into primitive functional features. Doing so enables the re-exploitation of annotated data for automatic dialogue act recognition tasks across taxonomies, i.e. it gives us the means to make a classifier learn from data annotated according to taxonomies different from the target taxonomy. We propose a meta-model covering several well-known taxonomies of dialogue acts, and we demonstrate its usefulness for the task of cross-taxonomy dialogue act recognition.

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Notes

  1. 1.

    i.e. It can’t discuss the planning of an action, such as the utterance “ok I’ll reboot my computer then”.

  2. 2.

    If the taxonomy is “flat”, i.e. not hierarchical, all labels are treated as siblings.

  3. 3.

    While not specified in the guidelines, Inform and in some cases Answer could arguably be considered a parent of all feedback labels.

  4. 4.

    https://catalog.ldc.upenn.edu/ldc97s62.

  5. 5.

    http://groups.inf.ed.ac.uk/maptask/.

  6. 6.

    https://catalog.ldc.upenn.edu/ldc97s62.

  7. 7.

    http://groups.inf.ed.ac.uk/maptask/.

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Correspondence to Soufian Salim .

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Salim, S., Hernandez, N., Morin, E. (2018). Dialogue Act Taxonomy Interoperability Using a Meta-model. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2017. Lecture Notes in Computer Science(), vol 10761. Springer, Cham. https://doi.org/10.1007/978-3-319-77113-7_24

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  • DOI: https://doi.org/10.1007/978-3-319-77113-7_24

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