0 A polysemous word has more than one meaning:
These clusters succeed in distinguishing meanings of expressions even if they are polysemous.
This difference is due to the low number of homonyms compared to polysemous entries.
Abstracting away from extra-linguistic considerations, one has a better chance to get at the central meaning of polysemous entities.
It is not surprising, therefore, that much research on automatic word-sense identification has focused on relatively small sets of polysemous words.
Since its (activity) meaning is predictable, the supine nominal is seldom listed in dictionaries, and when it is listed, it is not polysemous.
By focusing on a relatively small set of polysemous words, much larger data sets for each word can be produced.
The corpus of target contexts consists of 665 verb occurrences of 20 polysemous verbs.
It is true that targeted tagging does not require a tagger to review a new and different list of senses for each polysemous word.
