Method of retrieving English text based on matching degree
A matching degree and English technology, applied in the field of English text retrieval, can solve problems such as reduced user experience, inability to understand query intent, and inaccurate information, and achieve the effects of reducing retrieval burden, improving retrieval efficiency, and improving comprehensiveness
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[0048] The keyword c2 is determined in the field where the noun is located, and the semantic similarity between the noun c1 and the keyword c2 is defined as:
[0049]
[0050] Among them, Dist c1,c2 is the retrieval distance between noun c1 and keyword c2, calculated by the sum of edge weights (word weights) of the shortest path between them; word weight is directly related to the strength of the connection between keywords, then the sub-concept The strength of the connection between ci and its parent concept c′ can be expressed as:
[0051]
[0052] Preferably, considering other factors, such as local density, concept depth and concept relationship in the domain, the edge weight wt(ci, c′) between the entire concepts is expressed as:
[0053]
[0054] Among them, d(c') represents the depth of c' in the field where the noun is located, E(c') is the relation number of the field where the noun is located, is the average relationship number in the domain where the noun...
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