|
Class Summary |
| AbstractSelectMethod |
|
| ConstituentSelectMethod |
In addition to only consider the word of the sentence delimited by
the hypothesis as in the method leaf, this model computes the
probability based on the words of the hypothesis and its type label. |
| FirstSelectMethod |
A non-probablistic method that builds upon the assumption that a
hypothesis that is learned earlier is always correct. |
| TermsSelectMethod |
The method leaf (or terms) computes the probability of a hypothesis
by counting the number of times the particular words of the
hypothesis have occurred in the learned text as a hypothesis, divided
by the total number of hypotheses. |