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Rhetorical Structure and QUDs

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New Frontiers in Artificial Intelligence (JSAI-isAI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10091))

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Abstract

We consider two hypotheses about how rhetorical structure and QUD structure might come together to provide a more general pragmatic theory. Taking SDRT ([2]) and some basic principles from [18]’s QUD framework as starting points, we first consider the possibility that rhetorical relations can be modelled as QUDs, and vice versa. We ultimately reject this hypothesis in favor of the possibility that QUDs correspond to topics that bind together the members of complex discourse units.

We gratefully acknowledge support from the ERC grant 269427 and Marie Curie FP7 Grant, PCIG13-GA-2013-618550.

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Notes

  1. 1.

    See also [21] for a framework that combines QUDs and rhetorical relations.

  2. 2.

    How a discourse is broken down into basic units can vary from theory to theory, but all rhetorical theories and QUD theories must take a stand on what constitutes a basic discourse move.

  3. 3.

    SDRT does allow for violations of the RFC in cases that [1] calls discourse subordination, but such violations need to be explicitly signalled, e.g. Let’s go back to your first point.

  4. 4.

    That the conversational goals and intentions of speakers are relevant for computing the pragmatic meaning of an utterance goes back at least to [9]. See also [7, 10, 12, 20]. See [8] for a QUD-based theory that shares many features with [18], but is importantly different in ways we cannot consider in this paper.

  5. 5.

    This is the ordering adopted by [18] on page 15, clause (g.iii).

  6. 6.

    Though see [3] for a discussion of the difficulties of defining discourse topic in SDRT.

  7. 7.

    The cdu that represents the discourse as a whole is identical to the discourse graph as a whole, so we do not use special notation to label it in Fig. 2.

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Correspondence to Julie Hunter .

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Hunter, J., Abrusán, M. (2017). Rhetorical Structure and QUDs. In: Otake, M., Kurahashi, S., Ota, Y., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2015. Lecture Notes in Computer Science(), vol 10091. Springer, Cham. https://doi.org/10.1007/978-3-319-50953-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-50953-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50952-5

  • Online ISBN: 978-3-319-50953-2

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