For each word w, and for each sense S of w in a given dictionary D ∈ {WORDNET, ODE}, we construct a sense description d D (S) as a bag of words: where: • def D (S) is the set of words in the textual definition of S (excluding usage examples), automatically lemmatized and partof-speech tagged with the RASP statistical parser (Briscoe and Carroll, 2002); • hyper D (S) is the set of direct hypernyms of S in the taxonomy hierarchy of D (∅ if hypernymy is not available); • domains D (S) includes the set of domain labels possibly assigned to sense S (∅ when no domain is assigned).
in the case of WordNet, we generate def WN (S) from the gloss of S, hyper WN (S) from the noun and verb taxonomy, and domains WN (S) from the subject field codes, i.e.