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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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Abstract:
Existing question retrieval models work relatively well in finding similar questions in community-based question answering (cQA) services. However, they are designed for single-sentence queries or bag-of-word representations, and are not sufficient to handle multi-sentence questions complemented with various contexts. Segmenting questions into parts that are topically related could assist the retrieval system to not only better understand the user’s different information needs but also fetch the most appropriate fragments of questions and answers in cQA archive that are relevant to user’s query. In this paper, we propose a graph based approach to segmenting multi-sentence questions. The results from user studies show that our segmentation model outperforms traditional systems in question segmentation by over 30 % in user’s satisfaction. We incorporate the segmentation model into existing cQA question retrieval framework for more targeted question matching, and the empirical evaluation results demonstrate that the segmentation boosts the question retrieval performance by up to 12.93 % in Mean Average Precision and 11.72 % in Top One Precision. Our model comes with a comprehensive question detector equipped with both lexical and syntactic features.
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Keyword:
Design; Experimentation Keywords Question Answering; General Terms Algorithms; Question Matching; Question Segmentation; Yahoo! Answers
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URL: http://www.public.asu.edu/~xiahu/papers/sigir10Hu.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.1429
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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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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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