WORD SENSE DISAMBIGUATION       by Başak Mutlum, Sep 22, 2005

 

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Many words have more than one possible meaning, for example a bat can be a small nocturnal creature or a piece of sports equipment and a bank can mean the edge of a river or a financial institution that accepts money. When we look up a word in any dictionary, it can be seen that a word may have many meanings some of which are very different from each other. In fact in some cases a word can have two meanings which are the opposite of one another such as “consult” which can mean to ask for advice or give advice and “clip” which can mean to fasten or detach. Given these complications, it is important for a computer to correctly determine the meaning in which a word is used.

Word Sense Disambiguation (WSD) refers to the resolution of lexical semantic ambiguity and its goal is to attribute the correct senses to words in a given context. It has been described as AI-complete, which is used to describe problems or subproblems in AI, to indicate that the solution presupposes a solution to the “strong AI problem” (that is, the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard.

B MUTLUM Student ID 20030807
Name BAŞAK MUTLUM
Department ECOE
Standing GRADUATED
Email basakmutlum [at] gmail.com
Advisor  DYURET