We extract propositions from news tweets using PropS , which simplifies dependency trees by conveniently marking a wide range of predicates (e.g, verbal, adjectival, nonlexical) and positioning them as direct heads of their corresponding arguments.
to demonstrate the added value of our resource, we show that even in its current size, it already contains accurate predicate pairs which are absent from the existing resources.