Sample similarity-based pseudowords generated (with minimum frequency of 1,000 occurrences in Gigaword) for four different nouns in WordNet 3.0. Words shown in bold are those that could not be modeled using the vicinity-based approach for the given minimum frequency. Pseudosenses which are not picked out from the surrounding of the corresponding sense (hence, could not be modeled using the vicinity-based approach) are shown in bold in the second column of the table.
| word . | similarity-based pseudoword . |
|---|---|
| bernoulli | physicist*mathematician*astronomer |
| coach | football_coach*tutor*passenger_car*clarence*public_transport |
| green | greenery*central_park*labor_leader*green_party*river*golf_course*greens*max |
| sunray | sunbeam*vine*sunlight |
| word . | similarity-based pseudoword . |
|---|---|
| bernoulli | physicist*mathematician*astronomer |
| coach | football_coach*tutor*passenger_car*clarence*public_transport |
| green | greenery*central_park*labor_leader*green_party*river*golf_course*greens*max |
| sunray | sunbeam*vine*sunlight |