A Semantic Parsing Model Applied into Search Engine

Ying Li; Xiang Feng Wei; Yu Huan Chi

doi:10.4028/www.scientific.net/AMR.765-767.1186

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767A Semantic Parsing Model Applied into Search...

A Semantic Parsing Model Applied into Search Engine

Abstract:

t is a tough work to select accurate web pages for search engine. This paper applied a semantic parsing model into search engine by comparing the conceptual structures between users input and text. The words, sentences and sentence groups can be mapped into conceptual symbols, semantic categories, and contextual elements based on the theory of Hierarchical Network of Concepts. The approach will improve the intelligence and flexibility of the search engine in future.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

1186-1189

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.1186

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Online since:

September 2013

Authors:

Ying Li, Xiang Feng Wei, Yu Huan Chi

Keywords:

Conceptual Structures, Natural Language Processing, Search Engine, Semantic Parsing Model, Theory of HNC

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References

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