Keyboard shortcuts

Press or to navigate between chapters

Press S or / to search in the book

Press ? to show this help

Press Esc to hide this help

Annotating Dynamic Verbs

While all superframes denote states, many predicates, especially verbs, do not simply denote a state. Rather, they denote an event.

Note

We refer to events and states collectively as eventualities or scenes for short.

Events are distinguished from states by their temporal structure. They progress through two or more stages, each of which is itself a state or, in fact, another event.

In Superframes, events are annotated using a number of special frames called aspectual frames. You first frame a stage (which is usually a state), and then you add an aspectual frame that indicates that the predicate evokes not the stage, but an event involving the stage. There are seven aspectual frames:

FrameDescription
INITevent works towards beginning of stage
DEINITevent works towards end of stage
PREVENTIONevent works against beginning of stage
CONTINUATIONstage continues throughout event
TRANSITstage begins and ends during event
HABITstage occurs regularly/usually during event
DYNdifferent stages may occur during event with any pattern

Note

The frame for the stage is combined with the aspectual frame through a mechanism called stacking. We stack the aspectual frame on top of the stage frame by writing the two separated by a hyphen, meaning that the stage frame becomes the first argument of the aspectual frame. The first frame (also called the base frame) still determines the core roles that can be used.

Here is the mechanism illustrated for three different aspectual frames using POSSESSION as stage frame:

Dependency graph for sentence: Kim got the house. Token got is labeled POSSESSION-INIT and has an edge labeled possessor to token Kim and an edge labeled possessum to token house. Dependency graph for sentence: Kim lost the house. Token lost is labeled POSSESSION-DEINIT and has an edge labeled possessor to token Kim and an edge labeled possessum to token house. Dependency graph for sentence: Kim kept the house. Token kept is labeled POSSESSION-CONTINUATION and has an edge labeled possessor to token Kim and an edge labeled possessum to token house.

And here it is illustrated for all the aspectual frames using LOCATION as stage frame:

Dependency graph for sentence: The Empire State Building is located in New York. Token located is labeled LOCATION and has an edge labeled has-location to token Building and an edge labeled location to token York. Dependency graph for sentence: Kim walked towards Boston. Token walked is labeled LOCATION-INIT and has an edge labeled has-location to token Kim and an edge labeled location to token Boston. Dependency graph for sentence: The vase fell to the ground. Token fell is labeled LOCATION-INIT and has an edge labeled has-location to token vase and an edge labeled location to token ground. Dependency graph for sentence: Kim left Boston. Token left is labeled LOCATION-DEINIT and has an edge labeled has-location to token Kim and an edge labeled location to token Boston. Dependency graph for sentence: Kim stayed in Boston. Token stayed is labeled LOCATION-CONTINUATION and has an edge labeled has-location to token Kim and an edge labeled location to token Boston. Dependency graph for sentence: Kim lives in Boston. Token lives is labeled LOCATION-HABIT and has an edge labeled has-location to token Kim and an edge labeled location to token Boston. Dependency graph for sentence: The ball missed the target. Token missed is labeled LOCATION-PREVENTION and has an edge labeled has-location to token ball and an edge labeled location to token target. Dependency graph for sentence: Kim went via Washingon. Token went is labeled LOCATION-TRANSIT and has an edge labeled has-location to token Kim and an edge labeled location to token Washingon. Dependency graph for sentence: Kim travelled through Pittsburg. Token travelled is labeled LOCATION-TRANSIT and has an edge labeled has-location to token Kim and an edge labeled location to token Pittsburg. Dependency graph for sentence: Kim followed the path. Token followed is labeled LOCATION-TRANSIT and has an edge labeled has-location to token Kim and an edge labeled location to token path. Dependency graph for sentence: Kim walked. Token walked is labeled LOCATION-DYN and has an edge labeled has-location to token Kim.

Further examples include:

Dependency graph for sentence: The vase broke. Token broke is labeled INTERNAL-STATE-INIT and has an edge labeled has-state to token vase. Dependency graph for sentence: Kim befriended Sandy. Token befriended is labeled SOCIAL-RELATION-INIT and has an edge labeled socially-related to token Kim and an edge labeled socially-related-to to token Sandy. Dependency graph for sentence: Kim married Sandy. Token married is labeled SOCIAL-RELATION-INIT and has an edge labeled socially-related to token Kim and an edge labeled socially-related-to to token Sandy. Dependency graph for sentence: Kim divorced Sandy. Token divorced is labeled SOCIAL-RELATION-DEINIT and has an edge labeled socially-related to token Kim and an edge labeled socially-related-to to token Sandy. Dependency graph for sentence: Kim was saved from the dragon. Token saved is labeled INFLUENCE-PREVENTION and has an edge labeled affected to token Kim and an edge labeled influence to token dragon. Dependency graph for sentence: Kim is partying. Token partying is labeled SITUATION-DYN and has an edge labeled situee to token Kim.

Stacking Aspectual Frames Onto Roles

Some predicates take multiple arguments wrt. different stages. For these cases, there is a special notation where you can stack an aspectual frame atop a role. For example:

Dependency graph for sentence: Kim traveled from Chicago via Pittsburgh to Boston. Token traveled is labeled LOCATION-INIT and has an edge labeled has-location to token Kim and an edge labeled location-DEINIT to token Chicago and an edge labeled location-TRANSIT to token Pittsburgh and an edge labeled location to token Boston. Dependency graph for sentence: Kim sold Sandy the house. Token sold is labeled POSSESSION-DEINIT and has an edge labeled possessor to token Kim and an edge labeled possessor-INIT to token Sandy and an edge labeled possessum to token house. Dependency graph for sentence: Sandy bought the house from Kim. Token bought is labeled POSSESSION-INIT and has an edge labeled possessor to token Sandy and an edge labeled possessum to token house and an edge labeled possessor-DEINIT to token Kim. Dependency graph for sentence: Sandy owes Sandy money. Token owes is labeled POSSESSION-DEINIT-NECESSITY and has an edge labeled possessor to token Sandy and an edge labeled possessor-INIT to token Sandy and an edge labeled possessum to token money.

Using Aspectual Frames by Themselves

For predicates that only express aspect and nothing about the stage (which is instead denoted by an argument), aspectual frames can be used by themselves, without stacking:

Dependency graph for sentence: The concert began. Token began is labeled INIT and has an edge labeled initiated to token concert. Dependency graph for sentence: The concert continued. Token continued is labeled CONTINUATION and has an edge labeled continued to token concert. Dependency graph for sentence: The concert finished. Token finished is labeled DEINIT and has an edge labeled deinitiated to token concert. Dependency graph for sentence: The shouting faded. Token faded is labeled DEINIT and has an edge labeled deinitiated to token shouting. Dependency graph for sentence: A coup was attempted. Token attempted is labeled INIT and has an edge labeled initiated to token coup. Dependency graph for sentence: An outbreak was prevented. Token prevented is labeled PREVENTION and has an edge labeled prevented to token outbreak.

Using Aspectual Frames with the META Frame

Some predicates share an argument with another argument in what is known as a control construction. They are annotated with the special META frame. Its scene role is filled by the embedded predicate, and its participant role is filled by the controlled argument.

Important

If a predicate has a participant and a scene dependent, then an additional dependency edge (not present in basic UD) must be present from the scene to the participant. This edge is called a backlink. This rule is enforced automatically by the checker.

Often, control predicates express aspect while the embedded predicate expresses a stage. Thus, stack an aspect frame onto META. For example:

Dependency graph for sentence: Kim started walking. Token started is labeled META-INIT and has an edge labeled participant to token Kim and an edge labeled scene to token walking. Token walking is labeled LOCATION-DYN and has an edge labeled has-location to token Kim. Dependency graph for sentence: Kim stopped walking. Token stopped is labeled META-DEINIT and has an edge labeled participant to token Kim and an edge labeled scene to token walking. Token walking is labeled LOCATION-DYN and has an edge labeled has-location to token Kim. Dependency graph for sentence: Kim kept walking. Token kept is labeled META-CONTINUATION and has an edge labeled participant to token Kim and an edge labeled scene to token walking. Token walking is labeled LOCATION-DYN and has an edge labeled has-location to token Kim. Dependency graph for sentence: Kim refrained from walking. Token refrained is labeled META-PREVENTION and has an edge labeled participant to token Kim and an edge labeled scene to token walking. Token walking is labeled LOCATION-INIT and has an edge labeled has-location to token Kim. Dependency graph for sentence: Kim used to walk. Token used is labeled META-HABIT-TIME and has an edge labeled participant to token Kim and an edge labeled scene to token walk. Token walk is labeled SITUATION-DYN and has an edge labeled situee to token Kim. Dependency graph for sentence: Kim finished their work. Token finished is labeled META-DEINIT and has an edge labeled participant to token Kim and an edge labeled scene to token work. Token work is labeled SITUATION-DYN and has an edge labeled situee to token Kim.