DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German
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Abstract (arXiv)
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 two-layered 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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Sep 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 1.
4 papers.
- 2021ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentencescited by 5
- 2024A Claim Decomposition Benchmark for Long-form Answer Verificationcited by 2
- 2023Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositionscited by 1
- 2021Context-Preserving Text Simplificationcited by 0
- 2024A Claim Decomposition Benchmark for Long-form Answer Verification16 Oct 2024
- 2023Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions1 Aug 2023
- 2021ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences22 Jun 2021
- 2021Context-Preserving Text Simplification24 May 2021