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arxiv: 1811.12728 · v1 · pith:6XYWYDOFnew · submitted 2018-11-30 · 💻 cs.CL

Document Structure Measure for Hypernym discovery

classification 💻 cs.CL
keywords documentmeasurestructurediscoveryhypernymtermsattributesclasses
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Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypernyms from other types of semantic relationships. Our Document Structure measure is based on hierarchical position of terms in a document, and their presence or otherwise in definition text. This measure quantifies the document structure using multiple attributes, and classes of weighted distance functions.

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