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Chat-Bot-Kit: A web-based tool to simulate text-based interactions between humans and with computers ...
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German compound splitting using the compound productivity of morphemes ...
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Building a Corpus from Handwritten Picture Postcards: Transcription, Annotation and Part-of-Speech Tagging
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In: Sugisaki, Kyoko; Wiedmer, Nicolas; Hausendorf, Heiko (2018). Building a Corpus from Handwritten Picture Postcards: Transcription, Annotation and Part-of-Speech Tagging. In: 11th edition of the Language Resources and Evaluation Conference, Miyazaki, Japan, May 2018, s.n. (2018)
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Supertagging for Domain Adaptation: An Approach with Law Texts
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In: Sugisaki, Kyoko (2017). Supertagging for Domain Adaptation: An Approach with Law Texts. In: The 16th International Conference on Artificial Intelligence and Law, London, 12 June 2017 - 16 June 2017. (2017)
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Word and sentence segmentation in german: Overcoming idiosyncrasies in the use of punctuation in private communication
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In: Sugisaki, Kyoko (2017). Word and sentence segmentation in german: Overcoming idiosyncrasies in the use of punctuation in private communication. In: 27th International Conference, GSCL 2017, Berlin, September 2017, s.n. (2017)
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Abstract:
In this paper, we present a segmentation system for German texts. We apply conditional random fields (CRF), a statistical sequential model, to a type of text used in private communication. We show that by segmenting individual punctuation, and by taking into account freestanding lines and that using unsupervised word representation (i.e., Brown clustering, Word2Vec and Fasttext) achieved a label accuracy of 96% in a corpus of postcards used in private communication.
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Keyword:
000 Computer science; 410 Linguistics; Institute of Computational Linguistics; Institute of German Studies; knowledge & systems
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URL: https://doi.org/10.1007/978-3-319-73706-5_6 https://doi.org/10.5167/uzh-149515 https://www.zora.uzh.ch/id/eprint/149515/1/sugisaki2017b.pdf https://www.zora.uzh.ch/id/eprint/149515/
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Building a Corpus of Multi-lingual and Multi-format International Investment Agreements ...
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Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods
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In: Sugisaki, Kyoko. Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods. 2016, University of Zurich, Faculty of Arts. (2016)
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Towards Data-Driven Style Checking: An Example for Law Texts
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In: Sugisaki, Kyoko (2016). Towards Data-Driven Style Checking: An Example for Law Texts. In: 29th International Conference on Legal Knowledge and Information Systems (Jurix), Nice, December 2016, s.n. (2016)
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Incremental morphosyntactic disambiguation of nouns in German-language law texts ...
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Incremental morphosyntactic disambiguation of nouns in German-language law texts
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In: Sugisaki, Kyoko; Höfler, Stefan (2013). Incremental morphosyntactic disambiguation of nouns in German-language law texts. In: ESSLLI-13 Workshop on Extrinsic Parse Improvement (EPI), Düsseldorf, 12 August 2013 - 16 August 2013. (2013)
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From drafting guideline to error detection: Automating style checking for legislative texts ...
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From drafting guideline to error detection: Automating style checking for legislative texts
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In: Höfler, Stefan; Sugisaki, Kyoko (2012). From drafting guideline to error detection: Automating style checking for legislative texts. In: EACL 2012 Workshop on Computational Linguistics and Writing, Avignon, France, 23 April 2012 - 23 April 2012, 9-18. (2012)
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Detecting legal definitions for automated style checking in draft laws
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In: Höfler, Stefan; Bünzli, Alexandra; Sugisaki, Kyoko (2011). Detecting legal definitions for automated style checking in draft laws. Technical Reports in Computational Linguistics CL-2011.01, University of Zurich. (2011)
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