6. The method of claim 5 , wherein generating feature graphs corresponding to each predetermined feature based on the computed likelihood and obtained data comprises: generating a feature graph where the X-Axis represents the feature values of the predetermined feature and the Y-Axis represents the calculated probability values corresponding to each feature value.
5. The method of claim 4 , wherein computing likelihood of a sentence being a headnote based on the obtained data comprises calculating probability of a sentence being a headnote using the equation: P ⁡ ( HN i f ) = Number ⁢ ⁢ of ⁢ ⁢ Head ⁢ ⁢ note ⁢ ⁢ sentences ⁢ ⁢ with the ⁢ ⁢ value ⁢ ⁢ i ⁢ ⁢ for ⁢ ⁢ the ⁢ ⁢ feature Number ⁢ ⁢ of ⁢ ⁢ Head ⁢ ⁢ note ⁢ ⁢ sentences ⁢ ⁢ with ⁢ ⁢ the ⁢ ⁢ value ⁢ ⁢ i ⁢ ⁢ for the ⁢ ⁢ feature ⁢ ⁢ ( HN i f ) + Number ⁢ ⁢ of ⁢ ⁢ Non ⁢ ⁢ head ⁢ ⁢ note Sentences ⁢ ⁢ ( NHN ) ⁢ ⁢ with ⁢ ⁢ the ⁢ ⁢ value ⁢ ⁢ i ⁢ ⁢ for ⁢ ⁢ the ⁢ ⁢ feature ( NHN i f where P(HNif)=probability of a sentence being a head note (HN) for a feature (f) given the feature value (i) of the feature. Feature value (i) represents the number of occurrence of the predetermined feature.