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I am new to NLP, and I am curious whether there is an efficient way, using NLP, to determine the semantic equivalence between words. For instance, in news articles, we may look for articles about the 'United States'. But 'USA', 'US', 'America', 'Trump', etc. may all be seen as relevant and semantically equivalent in the context of the search.
If a user was searching 'US', but we wanted to show them all articles pertaining to the United States, how would we take 'US' and then determine those semantically equivalent words using NLP?
Is there a known application of NLP that accomplishes this?
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