Now that you have learnt the building block of semantic proessing let’s learn to solve a common problem in semantic analysis-word sense disambiguation.
Word sense dismbiguation(WSD) isthe task of identifying the correct sense of anambiguous word such as’bank ‘ ‘bark’ ‘pitch’ etc.
In the following lecture, let’s understand the various techniques used for word sense disambiguation.
Supervised techniques for word sensedisambiguation requir the input word to tagged with their senses. The sense is the label assiged to the word .In unsupservised techniques,word are not tagged with their senses,which are to be inferred useing other techniques.
Let’s talk about supervised techniques first . One of simplest text classification algorithms in Naive Bayes Classifier.
In the next lecture, let’s learn about the unsupervised technique.