nlpnltkwordnetword-sense-disambiguation

Measure of similarity using meronym/holonym edge on Wordnet

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I searched on stack but I have not found any response about my doubt. My question is follow:

There are any measure of similarity for Wordnet which explores (navigate) holonym / meronym and hypernym / hyponym edges at the same time? I have found only measures which look for common hypernyms vertex on Wordnet ...

My question not contains a snippet of code, it's only about a Wordnet feature.

UPDATE: I'm searching for a measure which not only use 'is-a' for find two concepts for semantic comparation. I want some measure which, in some cases, for "bind" two concepts admits "skip" 'is-a' taxonomy until reach most close hyperonym and choose navigate in 'member of'(holonyms/meronyms) taxonomy under some justificative.

Thanks in advance.

Solution

  • I recently read this paper: Semantic Relatedness of Words and Phrases

    Table 1 on p.3. shows how they used a weighting scheme. They then use the total weighted connections to decide if two words are related.

    As far as I am aware, there is no ready-made function in nltk to do this.