Finding meaningful sub-sentences from a sentence

Question

Is there a way to to find all the sub-sentences of a sentence that still are meaningful and contain at least one subject, verb, and a predicate/object?

For example,

Answer 1

You can use dependency parser provided by Stanford CoreNLP. Collapsed output of your sentence will look like below.

nsubj(going-3, I-1)
xsubj(do-5, I-1)
aux(going-3, am-2)
root(ROOT-0, going-3)
aux(do-5, to-4)
xcomp(going-3, do-5)
det(seminar-7, a-6)
dobj(do-5, seminar-7)
prep_on(seminar-7, NLP-9)
prep_at(do-5, -11)
prep_in(do-5, Austin-13)
amod(month-15, next-14)
tmod(do-5, month-15)

The last 5 of your sentence output are optional. You can remove one or more parts that are not essential to your sentence.
Most of this optional parts are belong to prepositional and modifier e.g : prep_in, prep_do, advmod, tmod, etc. See Stanford Dependency Manual.

For example, if you remove all modifier from the output, you will get

I am going to do a seminar on NLP at SXSW in Austin.