Publication: Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods
Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods
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Sugisaki, K. (2016). Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-126637
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In this thesis, I investigate and develop methods for automatically analyzing and assessing German syntactic structures in domain-specific texts. As domain-specific texts, I use Swiss German-language law texts. The automatic annotation of syntactic structures has long been studied in the research on natural language processing. Supervised statistical methods are regarded as state-of-the-art parsing methods, which are accurate but biased by the type of text. Consequently, the accuracy of statistical parsers decreases if they are used o
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Sugisaki, K. (2016). Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods. (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-126637