<p>I recently read this paper: <a href="https://arxiv.org/abs/1708.05801" rel="nofollow noreferrer">Semantic Relatedness of Words and Phrases</a></p>

<p>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.</p>

<p>As far as I am aware, there is no ready-made function in nltk to do this.</p>
Measure of similarity using meronym/holonym edge on Wordnet
<p>StackOverflow!</p>

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

<p>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 ...</p>

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

<p>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.</p>

<p>Thanks in advance.</p>