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Deep Learning for the Identification of Decision Modelling Components from Text

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Rules and Reasoning (RuleML+RR 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12851))

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Abstract

Decision and process descriptions often find themselves encapsulated in long descriptions such as regulations or guidelines. Decision modelling aims at modelling the structure and logic of a decision. For decision modellers, analysing textual documents in search for relevant sentences is a time consuming activity. A promising research topic is to build decision models from text. In this paper, an automatic decision modelling component classifier using deep learning is proposed. Using a large dataset consisting of labeled sentences, the usability of deep learning techniques is investigated. In total three deep learning techniques are evaluated and compared to non-deep learning techniques using both Bag of Words and Term Frequency-Inverse Document Frequency. We conclude that classifying decision modelling components is possible and report that BERT for sequence classification is the best performing technique.

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Notes

  1. 1.

    https://github.com/huggingface/neuralcoref.

  2. 2.

    https://github.com/NielsRogge/Description2Process.

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Authors and Affiliations

  1. Leuven Institute for Research on Information Systems (LIRIS), KU Leuven, Leuven, Belgium

    Alexandre Goossens, Michelle Claessens, Charlotte Parthoens & Jan Vanthienen

Authors
  1. Alexandre Goossens
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  2. Michelle Claessens
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  3. Charlotte Parthoens
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  4. Jan Vanthienen
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Corresponding author

Correspondence to Alexandre Goossens .

Editor information

Editors and Affiliations

  1. University of Surrey, Guildford, UK

    Sotiris Moschoyiannis

  2. University of Milano-Bicocca, Milano, Italy

    Rafael Peñaloza

  3. KU Leuven, Leuven, Belgium

    Jan Vanthienen

  4. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Ahmet Soylu

  5. SINTEF/University of Oslo, Oslo, Norway

    Dumitru Roman

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Goossens, A., Claessens, M., Parthoens, C., Vanthienen, J. (2021). Deep Learning for the Identification of Decision Modelling Components from Text. In: Moschoyiannis, S., Peñaloza, R., Vanthienen, J., Soylu, A., Roman, D. (eds) Rules and Reasoning. RuleML+RR 2021. Lecture Notes in Computer Science(), vol 12851. Springer, Cham. https://doi.org/10.1007/978-3-030-91167-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-91167-6_11

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