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