9 sets of verbs and 8 sets of nouns making 1002 verb-noun collocations. The entailed polarity of a clause can be either TRUE, FALSE, or UNSURE[^1]. For FALSE clauses, we only generate a boolean question with a NO answer. For UNSURE clauses, we do not generate any question. For TRUE clauses and verbs and collocations not present in the above set, we rely on the NEG label.

VerbNet Predicate Templates
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While SRL’s event-based representations have permitted us to generate questions that talk about the roles participants of an event play, we exploit VerbNet’s sub-event representation to ask questions on how participants’ states change across the time frame of the event. In Figure \[fig:vn4\], the event murder (VerbNet class [*murder-42.1*](https://uvi.colorado.edu/verbnet/murder-42.1)) results in a final state in which the participant *Julius Caesar* is in a *not-alive* state.

Each class in VerbNet [@schuler2005verbnet; @brown2019verbnet] includes a set of member verbs, the thematic roles used in the predicate-argument structure, accompanied with flat syntactic patterns and their corresponding semantic predicates represented in neo-Davidsonian first-order-logic formulation. These semantic predicates bring forth a temporal sequencing of sub-events tracking how participants’ states change over the course of the event. The advantage is to be able to ask 