In natural language processing (NLP), word sense disambiguation
(WSD) is defined as the task of assigning the appropriate
meaning (sense) to a given word in a text or discourse. As an
example, consider the following three sentences: Any system that
tries to determine the meanings of the three sentences will need
to represent somehow three different senses for the verb fall.
In the first sentence, the missiles have been launched on
Baghdad. In the second sentence, sales will decrease, and in the
third the city will surrender early. WordNet 2.0
Miller1995,Fellbaum19981 contains thirty-two different senses
for the verb fall as well as twelve different senses for the
noun fall. Note also that the first and third sentence belong to
the same, military domain, but use the verb fall with two
different meanings. Thus, a WSD system must be able to assign
the correct sense of a given word, in these examples, fall,
depending on the context in which the word occurs. In the
example sentences, these are, respectively, sense