Sentence Semantic Component Analysis: Using shallow semantics, we decode the underlying dependency trees that embody linguistic relationships such as head-subject (H-S), head-modifier Sentence Structure Analysis: In our question analysis, we observed that 98% of affirmed questions did not contain any object and they are also in copula (linking) sentence form that is, they are only formed by subject and information about the subject as: {subject + linking-verb + subjectinfo.}.
we investigate such affirmed questions different than the rest and call them copula sentences and the rest as non-copula sentences.