Dòng Nội dung
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Phrasal Semantic Distance For Vietnamese Textual Document Retrieval / Do Thi Thanh Tuyen, Nguyen Tuan Dang // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2015. - P. 185-202. - ISSN:


18 p.
Ký hiệu phân loại (DDC): 495
In this paper, a computational semantic method is proposeted to estimate the phrasal semantic distance used in our model of Vietnamese document retrieval system. The semantic distances between phrases are defined in terms of semantic classes and semantic relations to ensure thatit can reflect how different two certain phrases are. To estimate the semantic distance, the semantic classes or a phase are identified by using the n—gram model. After identification of the semanticclasses, their semantic relations are also identified by using a Vietnamese Lexicon Ontologv. Thishandcrafted ontology contains defined semantic classes and their potential relations in Vietnameselanguage explicitly.
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