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Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres

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Future and Emerging Trends in Language Technology. Machine Learning and Big Data (FETLT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10341))

Abstract

Since automatic language generation is a task able to enrich applications rooted in most of the language-related areas, from machine translation to interactive dialogue, it seems worthwhile to undertake a strategy focused on enhancing generation system’s adaptability and flexibility. It is our first objective to understand the relation between the factors that contribute to discourse articulation in order to devise the techniques that will generate it. From that point, we want to determine the appropriate methods to automatically learn those factors. The role of genre on this approach remains essential as provider of the stable forms that are required in the discourse to meet certain communicative goals. The arising of new web-based genres and the accessibility of the data due to its digital nature, has prompted us to use reviews in our first attempt to learn the characteristics of their singular non-rigid structure. The process and the preliminary results are explained in the present paper.

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Notes

  1. 1.

    Actually, coherence has been accepted as a quality indicator [29].

  2. 2.

    http://www.gsi.dit.upm.es/ontologies/marl.

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Acknowledgments

This work has been supported by the grant ACIF/2016/501 from the Generalitat Valenciana. Funds have been also received from the University of Alicante, Spanish Government and the European Commission through the projects “Explotación y tratamiento de la información disponible en Internet para la anotación y generación de textos adaptados al usuario” (GRE13-15) and “DIIM2.0: Desarrollo de técnicas Inteligentes e Interactivas de Minería y generación de información sobre la web 2.0” (PROMETEOII/2014/001), TIN2015-65100-R, TIN2015-65136-C2-2-R, and SAM (FP7-611312), respectively.

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Authors and Affiliations

  1. University of Alicante, Alicante, Spain

    Marta Vicente & Elena Lloret

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  1. Marta Vicente
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  2. Elena Lloret
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Correspondence to Marta Vicente .

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Editors and Affiliations

  1. University of Seville , Sevilla, Spain

    José F Quesada

  2. University of Seville , Seville, Spain

    Francisco-Jesús Martín Mateos

  3. University of Seville , Seville, Spain

    Teresa López Soto

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Vicente, M., Lloret, E. (2017). Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres. In: Quesada, J., Martín Mateos , FJ., López Soto, T. (eds) Future and Emerging Trends in Language Technology. Machine Learning and Big Data. FETLT 2016. Lecture Notes in Computer Science(), vol 10341. Springer, Cham. https://doi.org/10.1007/978-3-319-69365-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-69365-1_8

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