Avoid Redundant Matched Substring Using AML Prunes Within Web-Based Framework

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Provided by: International Journal of Advanced Research in Computer Science & Technology (IJARCST)
Topic: Data Management
Format: PDF
Approximate Membership Localization (AML) algorithm is a dictionary based entity recognition. AML only aims at locating true mentions of clean references. In real-world situations, one word position within a document generally belongs to only one reference-matched substring, meaning that the true matched substrings should not overlap. AML targets at locating non overlapped substrings in a given document that can approximately match any clean reference. The results of AML are expected to be much closer to the true matched pairs but not involving overlapped redundant substrings.
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