Abstract
The following section presents a critical summary of previous work in the area of TS, focusing on methods that aim at simplifying the linguistic structure of sentences. We discuss the strengths and weaknesses of existing approaches, thereby demonstrating the effectiveness of our proposed context-preserving TS framework. In addition, in Section 2.2, we give a comprehensive overview of approaches that operate on the level of discourse by taking into account the coherence structure of texts. Section 2.3 then reviews approaches that were proposed to solve the task of Open IE. We highlight their limitations and provide a critique of commonly applied evaluation procedures. Finally, in Section 2.4, we briefly discuss the related topic of MR.
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Notes
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In this setting, judges are asked to rate the quality of the simplified output produced by a TS system on a Likert scale that ranges from 1 to 5 with regard to three criteria: grammaticality, meaning preservation and simplicity. For further details, see Section 14.1.4.1.
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Further details on the metrics of BLEU and SARI can be found in Section 14.1.3.2. Flesch- Kincaid Grade Level (FKGL) (Kincaid et al., 1975) is a widely applied readability metric, measuring how easy a text is to understand for human readers. It is based on average sentence length and average number of syllables per word. The result is a number that corresponds with a grade level in the United States.
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Wiktionary is a free dictionary in the format of a wiki so that everyone can edit its content. It is available under https://en.wiktionary.org.
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PWKP Turk and ASSET, too, are small-scale TS corpora. However, they are intended only for tuning and evaluation TS approaches, not for training them.
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The OIE2016 benchmark dataset is available under https://github.com/gabrielStanovsky/oie-benchmark.
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The WiRe57 Open IE benchmark can be downloaded from https://github.com/rali-udem/WiRe57.
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The CaRB benchmark for Open IE is available for download under https://github.com/dair-iitd/CaRB.
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The OPIEC corpus is available under https://www.uni-mannheim.de/dws/research/resources/opiec/.
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Niklaus, C. (2022). Related Work. In: From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-38697-9_2
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DOI: https://doi.org/10.1007/978-3-658-38697-9_2
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