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Rhetorical Map of an Answer

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Developing Enterprise Chatbots

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Abstract

In this Chapter we explore an anatomy of an arbitrary text with respect to how it can answer questions. One more opportunity for discourse analysis to assist with topical relevance of an answer is identified. We discover that a discourse tree of an answer sheds a light on how an answer is constructed, and how to treat keyword occurrence. There is a simple observation employed by search engines: keywords from a query need to occur in a single answer sentence, for this answer to be relevant. Relying on answer anatomy, we substantially extend the notion of how query keywords should occur in answer areas such as its elementary discourse units. We explore how to identify informative and uninformative parts of answers in terms of matching with questions. It turns out that discourse trees contribute a lot in building answer maps which are fairly important for determining whether this answer is good or not for a given question.

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Authors and Affiliations

  1. Oracle (United States), San Jose, CA, USA

    Boris Galitsky

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  1. Boris Galitsky
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Galitsky, B. (2019). Rhetorical Map of an Answer. In: Developing Enterprise Chatbots. Springer, Cham. https://doi.org/10.1007/978-3-030-04299-8_14

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  • DOI: https://doi.org/10.1007/978-3-030-04299-8_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04298-1

  • Online ISBN: 978-3-030-04299-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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