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  1. No Access

    Chapter and Conference Paper

    Using Textbook Knowledge for Statute Retrieval and Entailment Classification

    In this work, we imitate the process of a legal expert studying the situational application of statutes, in order to infer relevance and entailment relationships between a query statement and a statute. While ...

    Sabine Wehnert, Libin Kutty… in New Frontiers in Artificial Intelligence (2023)

  2. No Access

    Chapter and Conference Paper

    Geometric Deep Learning Vascular Domain Segmentation

    For rupture risk assessment of intracranial aneurysms, 3D surface model extraction might be time-consuming but supports calculation of morphological and hemodynamical parameters. We present a geometric deep le...

    Robert Kreher, Annika Niemann, Libin Kutty… in Bildverarbeitung für die Medizin 2023 (2023)

  3. No Access

    Chapter

    Natural Language Processing for Requirements Formalization: How to Derive New Approaches?

    It is a long-standing desire of industry and research to automate the software development and testing process as much as possible. Model-based design and testing methods have been developed to automate severa...

    Viju Sudhi, Libin Kutty, Robin Gröpler in Concurrency, Specification and Programming (2023)

  4. Article

    Open Access

    Applying BERT Embeddings to Predict Legal Textual Entailment

    Textual entailment classification is one of the hardest tasks for the Natural Language Processing community. In particular, working on entailment with legal statutes comes with an increased difficulty, for exa...

    Sabine Wehnert, Shipra Dureja, Libin Kutty… in The Review of Socionetwork Strategies (2022)

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