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NooJ Local Grammars for Innovative Startup Language

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Book cover Automatic Processing of Natural-Language Electronic Texts with NooJ (NooJ 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 667))

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Abstract

In this work, we take a linguistic knowledge approach to identify innovative language used to describe new entrepreneurial activity. Starting from the Theory of the Speech Acts, an innovative startup needs to express itself through an innovative language continuously upgraded, to describe processes and products. We use several levels of NooJ to process the type of knowledge presented in business documents to recognize new linguistic resources. This approach, based on Lexicon-Grammar (LG) framework, is extendible to every knowledge domain although we process business documents in Agri-food sector that more than others presents critical issues in knowledge management and representation. Regarding the results of our analysis with NooJ, we note that 10% of tokens retrieved are unknown words.

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Authors and Affiliations

  1. Department of Political, Social and Communication Sciences, University of Salerno, Salerno, Italy

    Francesca Esposito & Annibale Elia

Authors
  1. Francesca Esposito
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  2. Annibale Elia
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Correspondence to Annibale Elia .

Editor information

Editors and Affiliations

  1. Università degli Studi di Salerno , Fisciano, Italy

    Linda Barone

  2. Università degli Studi di Salerno , Fisciano, Italy

    Mario Monteleone

  3. Université de Franche-Comté , Paris, France

    Max Silberztein

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Esposito, F., Elia, A. (2016). NooJ Local Grammars for Innovative Startup Language. In: Barone, L., Monteleone, M., Silberztein, M. (eds) Automatic Processing of Natural-Language Electronic Texts with NooJ. NooJ 2016. Communications in Computer and Information Science, vol 667. Springer, Cham. https://doi.org/10.1007/978-3-319-55002-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-55002-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55001-5

  • Online ISBN: 978-3-319-55002-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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