Experimental results show that the use of Domain Models allows us to reduce the amount of training data, opening an interesting research direction for all those NLP tasks for which the Knowledge Acquisition Bottleneck is a crucial problem.
we plan to apply the same methodology to Text Categorization, by exploiting the Domain Kernel to estimate the similarity among texts.