Table 2.

The expansion of synonyms, hypernyms and hyponyms based on WordNet.

The query for the set of synonyms of the same part of speech of ‘reduction’ is coded as: from nltk.corpus import wordnet as wn sets = wn.synsets('reduction', pos = wn.NOUN) print(sets) The result of the operation:[Synset('decrease.n.04')]

The query for the set of hypernyms of ‘reduction’ is coded as: from nltk.corpus import wordnet as wn reduction = wn.synset('reduction.n.01') hypernym_sets = reduction.hypernyms() print(hypernym_sets) root_hypernym = reduction.root_hypernyms() print(root_hypernym) The result of the operation:[Synset('change_of_magnitude.n.01')][Synset('entity.n.01')]

The query for the set of hyponyms of ‘reduction’ is coded as: from nltk.corpus import wordnet as wn reduction = wn.synset('reduction.n.01') hyponym_sets = reduction.hyponyms() print(hyponym_sets) The result of the operation: [Synset('amortization.n.01'), Synset('contraction.n.04'), Synset('cut.n.19'), Synset('cutback.n.01'), Synset('de-escalation.n.01'), Synset('declassification.n.01'), Synset('deflation.n.03'), Synset('depletion.n.01'), Synset('depreciation.n.01'), Synset('devaluation.n.02'), Synset('devitalization.n.01'), Synset('discount.n.01'), Synset('easing.n.02'), Synset('extenuation.n.02'), Synset('lowering.n.01'), Synset('minimization.n.01'), Synset('moderation.n.04'), Synset('reverse_split.n.01'), Synset('rollback.n.02'), Synset('shortening.n.02'), Synset('shrinking.n.02'), Synset('subtraction.n.02'), Synset('tax_credit.n.01'), Synset('tax_shelter.n.01'), Synset('weakening.n.02')]