Prof. Dr. Christina Niklaus

Assistant Professor in Computer Science with focus on “Databases and Data Engineering”


Curriculum vitae



University of St. Gallen

Institute of Computer Science



DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German


Conference paper


Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh
Proceedings of the 12th International Conference on Natural Language Generation, Association for Computational Linguistics, Tokyo, Japan, 2019 Oct, pp. 504--507

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APA   Click to copy
Niklaus, C., Cetto, M., Freitas, A., & Handschuh, S. (2019). DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German. In Proceedings of the 12th International Conference on Natural Language Generation (pp. 504–507). Tokyo, Japan: Association for Computational Linguistics.


Chicago/Turabian   Click to copy
Niklaus, Christina, Matthias Cetto, André Freitas, and Siegfried Handschuh. “DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German.” In Proceedings of the 12th International Conference on Natural Language Generation, 504–507. Tokyo, Japan: Association for Computational Linguistics, 2019.


MLA   Click to copy
Niklaus, Christina, et al. “DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German.” Proceedings of the 12th International Conference on Natural Language Generation, Association for Computational Linguistics, 2019, pp. 504–07.


BibTeX   Click to copy

@inproceedings{niklaus2019a,
  title = {DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German},
  year = {2019},
  month = oct,
  address = {Tokyo, Japan},
  pages = {504--507},
  publisher = {Association for Computational Linguistics},
  author = {Niklaus, Christina and Cetto, Matthias and Freitas, André and Handschuh, Siegfried},
  booktitle = {Proceedings of the 12th International Conference on Natural Language Generation},
  month_numeric = {10}
}

Abstract

We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more regular structure which is easier to process for downstream semantic applications. For this purpose, we turn input sentences into a twolayered semantic hierarchy in the form of core facts and accompanying contexts, while identifying the rhetorical relations that hold between them. In that way, we preserve the coherence structure of the input and, hence, its interpretability for downstream tasks.


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