Semantic Information Extraction: Overview and Basic Techniques
Semantic Information Extraction: Overview and Basic Techniques
Semantic Information Extraction: Overview and Basic Techniques
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DS Implementation<br />
• Step-1: Define context<br />
Syntactic context, lexical context…<br />
• Step-2: Represent each term by a feature vector<br />
Feature: A context in which the term appears<br />
Feature value: “Weight” of the context w.r.t. the term<br />
• Step3: Compute term similarity<br />
Term similarity = similarity between corresponding feature vectors