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Extracting Core Claims from Scientific Articles

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BNAIC 2016: Artificial Intelligence (BNAIC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 765))

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Abstract

The number of scientific articles has grown rapidly over the years and there are no signs that this growth will slow down in the near future. Because of this, it becomes increasingly difficult to keep up with the latest developments in a scientific field. To address this problem, we present here an approach to help researchers learn about the latest developments and findings by extracting in a normalized form core claims from scientific articles. This normalized representation is a controlled natural language of English sentences called AIDA, which has been proposed in previous work as a method to formally structure and organize scientific findings and discourse. We show how such AIDA sentences can be automatically extracted by detecting the core claim of an article, checking for AIDA compliance, and – if necessary – transforming it into a compliant sentence. While our algorithm is still far from perfect, our results indicate that the different steps are feasible and they support the claim that AIDA sentences might be a promising approach to improve scientific communication in the future.

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Notes

  1. 1.

    http://www.nltk.org/.

  2. 2.

    https://github.com/emilmont/pyStatParser - accessed on 09/03/2017.

  3. 3.

    https://ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_bulk/ - accessed on 10/03/2017.

  4. 4.

    https://github.com/tkuhn/nanopubstudies-supplementary/blob/master/botstudy/extract_evalresults.ods - accessed on 15/03/2017.

  5. 5.

    https://github.com/TomJansen25/Extracting-Core-Claims/.

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Authors and Affiliations

  1. Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands

    Tom Jansen & Tobias Kuhn

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  1. Tom Jansen
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  2. Tobias Kuhn
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Correspondence to Tom Jansen .

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Editors and Affiliations

  1. Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Tibor Bosse

  2. Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

    Bert Bredeweg

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Jansen, T., Kuhn, T. (2017). Extracting Core Claims from Scientific Articles. In: Bosse, T., Bredeweg, B. (eds) BNAIC 2016: Artificial Intelligence. BNAIC 2016. Communications in Computer and Information Science, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-67468-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-67468-1_3

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