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Complementing RRL for Dialogue Summarisation

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Advances in Artificial Intelligence – IBERAMIA 2010 (IBERAMIA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6433))

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Abstract

This paper describes the use of neca’s rrl – Rich Representation Language – in the aid of automatic dialogue summarisation. We start by defining a set of summary acts, and then present a mapping between these acts, taken from human generated summaries, and their corresponding speech acts from the source dialogues. This mapping can then be used by a summary planner to identify portions in the dialogue with higher probability to support some argument it is about to introduce in the summary. Depending on the application, it could also be used to gather, in the source dialogue, specific information to fulfill summary templates. In following this procedure, we hope researchers will be able to build more human-like summaries, by linking corpora summaries to their source dialogues.

This research was sponsored by CNPq – Conselho Nacional de Desenvolvimento Científico e Tecnológico – and CAPES – Coordenação de Aperfeiçoamento de Pessoal de Nível Superior.

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Roman, N.T., Carvalho, A.M.B.R. (2010). Complementing RRL for Dialogue Summarisation. In: Kuri-Morales, A., Simari, G.R. (eds) Advances in Artificial Intelligence – IBERAMIA 2010. IBERAMIA 2010. Lecture Notes in Computer Science(), vol 6433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16952-6_38

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  • DOI: https://doi.org/10.1007/978-3-642-16952-6_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16951-9

  • Online ISBN: 978-3-642-16952-6

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