Grouping of Personalized Web Documents by Naming Aliases

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
In lots of works such as information retrieval, sentiment analysis, person name disambiguation as well as in biomedical fields it is required to identify the accurate references to an entity among a list of references. More previous work had been done on solving lexical ambiguity. Here, the authors proposed a method that is based on referential ambiguity. In this paper, they proposed a method which is based on referential ambiguity to extract correct alias for a given name. Given a person name and/or with context data such as location, organization retrieves top K snippets and depth up to level two from a web search engine.
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