Context Matters in Semantic Ambiguity | HackerNoon

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Context Matters in Semantic Ambiguity | HackerNoon
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'Context Matters in Semantic Ambiguity'cc: dmytrozhuk nekhymchuk dataintegration ai

The obvious answer to this question is “geographical place”, right? Let’s look at it in a wider context.

In this particular case, larger sample size would barely help, as nearly any city name can be a surname for someone and a lot of cities are named after some people. NLP techniques have some of the required context for token classification from the text which surrounds any particular token and use word embeddings to make a “best guess” of what this word might mean.

datuum.ai technology actually utilizes all the context which is available in a data source and takes a full set of columns, their order, full set of files/tables, etc. into account in order to determine a semantic type of the data.

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