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Ein Konzept für den Einsatz von Idiom-Geschichten als Selbstlernmaterialien für erwachsene Chinesischlerner auf Anfängerniveau [Online resource]
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Kai Wang. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2021
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Linguistik-Repository
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Die gegenseitigen Entscheidungsfaktoren der Sprachen und der schriftlichen Repräsentation : eine Analyse der Sprach-Schrift-Zusammenhänge bezüglich korrelativen Bestimmungen und Gestaltungen [Online resource]
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Kai Wang. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2019
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Linguistik-Repository
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Segmentation of multisentence questions: towards effective question retrieval in cQA services
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In: http://www.public.asu.edu/~xiahu/papers/sigir10Hu.pdf (2010)
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Simple and Knowledge-intensive Generative Model for Named Entity Recognition
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In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/nlmm-msr-tr-2013-3.pdf
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Exploiting Salient Patterns for Question Detection and Question Retrieval in Community-based Question Answering
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In: http://aclweb.org/anthology-new/C/C10/C10-1130.pdf
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Abstract:
Question detection serves great purposes in the cQA question retrieval task. While detecting questions in standard language data corpus is relatively easy, it becomes a great challenge for online content. Online questions are usually long and informal, and standard features such as question mark or 5W1H words are likely to be absent. In this paper, we explore question characteristics in cQA services, and propose an automated approach to detect question sentences based on lexical and syntactic features. Our model is capable of handling informal online languages.
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URL: http://aclweb.org/anthology-new/C/C10/C10-1130.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.8834
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2009 10th International Conference on Document Analysis and Recognition High Performance Chinese/English Mixed OCR with Character Level Language Identification
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In: http://www.cvc.uab.es/icdar2009/papers/3725a406.pdf
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A Parallel Multigrid Solver Based on Processor Virtualization Techniques ∗
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In: https://charm.cs.uiuc.edu/papers/MultiGridVS05.pdf
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