Annotating Adjuncts
Adjuncts are dependents of predicates that are not arguments – that is, they are not assigned a role by the predicate, but by the adjunct construction, often involving an adposition or a conjunction. All kinds of predicates can have adjuncts, including verbs, nouns, and others. Superframes does not try to distinguish between adjuncts and non-core arguments – we annotate the former just like the latter:
Dependency graph for sentence: a tree in the garden. Token tree is labeled ENTITY and has an edge labeled LOCATION:hl to token garden.
Dependency graph for sentence: Kim ’s tree. Token tree is labeled ENTITY and has an edge labeled POSSESSOR:hl to token Kim.
Dependency graph for sentence: my car. Token car is labeled ENTITY and has an edge labeled POSSESSOR:hl to token my.
Dependency graph for sentence: my feet. Token feet is labeled ENTITY and has an edge labeled WHOLE:hl to token my.
Dependency graph for sentence: Kim is sweating in the sauna. Token sweating is labeled CONTAINMENT-DEINIT and has an edge labeled container to token Kim and an edge labeled LOCATION:hl to token sauna.
Dependency graph for sentence: Wir machen das wegen der Kinder. Token machen is labeled CAUSATION and has an edge labeled causer to token Wir and an edge labeled effect to token das and an edge labeled REASON:hl to token Kinder.
Dependency graph for sentence: gekommen , um zu bleiben. Token gekommen is labeled LOCATION-INIT and has an edge labeled END:hl to token bleiben.
Dependency graph for sentence: after that they are not able to move. Token able is labeled META-POSSIBILITY and has an edge labeled TIME:hl to token that and an edge labeled participant to token they and an edge labeled scene to token move.
Attributive Adjectives and Adverbs
Attributive adjectives and adverbs behave syntactically like modifiers, but
they are also predicates assigning the modifiee a role. In fact, the semantic
relation that this modifier relation denotes is that the modifier evokes a
scene in which the modifiee participates. We have already encountered the frame
that encodes this relation in the chapter on Annotating Dynamic
Verbs:
it is called META. With attributive adjectives and adverbs, we use
its scene role as a non-core role, and we add a backlink for the role
assigned by the modifier to the modifiee.
Important
If a predicate has a
SCENEdependent, then an additional dependency edge (not present in basic UD) must be present from the dependent to the predicate. This edge is called a backlink. This rule is enforced automatically by the checker.
Dependency graph for sentence: a red car. Token red is labeled PROPERTY and has an edge labeled has-property:hl to token car. Token car is labeled ENTITY and has an edge labeled SCENE:hl to token red.
Dependency graph for sentence: the tired dog. Token tired is labeled INTERNAL-STATE and has an edge labeled has-state:hl to token dog. Token dog is labeled ENTITY and has an edge labeled SCENE:hl to token tired.
Dependency graph for sentence: ein anderes Plakat. Token anderes is labeled COMPARISON and has an edge labeled compared:hl to token Plakat. Token Plakat is labeled ENTITY and has an edge labeled SCENE:hl to token anderes.
Dependency graph for sentence: Kim ran fast. Token ran is labeled LOCATION-DYN and has an edge labeled has-location to token Kim and an edge labeled SCENE:hl to token fast. Token fast is labeled PROPERTY and has an edge labeled has-property:hl to token ran.
Dependency graph for sentence: Kim ran far. Token ran is labeled LOCATION-DYN and has an edge labeled has-location to token Kim and an edge labeled SCENE:hl to token far. Token far is labeled QUANTITY and has an edge labeled has-quantity:hl to token ran.
Dependency graph for sentence: Ich spiele lieber Schach. Token spiele is labeled META and has an edge labeled participant to token Ich and an edge labeled SCENE:hl to token lieber and an edge labeled scene to token Schach. Token lieber is labeled EVALUATION and has an edge labeled evaluee:hl to token spiele. Token Schach is labeled SITUATION-DYN and has an edge labeled situee to token Ich.
Dependency graph for sentence: Der ist sowieso kaputt. Token sowieso is labeled CONDITION and has an edge labeled has-condition:hl to token kaputt. Token kaputt is labeled INTERNAL-STATE and has an edge labeled has-state to token Der and an edge labeled SCENE:hl to token sowieso.
Dependency graph for sentence: Und doch sah er intelligent aus. Token doch is labeled CONCESSION and has an edge labeled asserted:hl to token sah. Token sah is labeled META-MESSAGE and has an edge labeled SCENE:hl to token doch and an edge labeled participant to token er and an edge labeled scene to token intelligent.
Dependency graph for sentence: Sie sprangen des Regens ungeachtet nach draußen. Token sprangen is labeled LOCATION-INIT and has an edge labeled has-location to token Sie and an edge labeled SCENE:hl to token ungeachtet and an edge labeled LOCATION to token draußen. Token ungeachtet is labeled CONCESSION and has an edge labeled asserted:hl to token sprangen and an edge labeled conceded to token Regens.
Dependency graph for sentence: Kim war unvermindert fröhlich. Token unvermindert is labeled QUANTITY-CONTINUATION and has an edge labeled has-quantity:hl to token fröhlich. Token fröhlich is labeled INTERNAL-STATE and has an edge labeled has-state to token Kim and an edge labeled SCENE:hl to token unvermindert.
Dependency graph for sentence: » Wir haben um Hilfe gebeten « , so Saqib. Token gebeten is labeled NORM and has an edge labeled SENDER to token Wir and an edge labeled norm-content to token Hilfe and an edge labeled SCENE:hl to token so. Token so is labeled EXPRESSION and has an edge labeled sent:hl to token gebeten and an edge labeled sender to token Saqib.
Dependency graph for sentence: The little prince flashed back at me. Token flashed is labeled EXPRESSION-INIT and has an edge labeled SENDER to token prince and an edge labeled SCENE:hl to token back. Token back is labeled REACTION and has an edge labeled reaction:hl to token flashed.
Dependency graph for sentence: He went on : “ You mix everything up together … ”. Token went is labeled MESSAGE-INIT and has an edge labeled SENDER to token He and an edge labeled SCENE:hl to token on and an edge labeled content to token mix. Token on is labeled CONTINUATION and has an edge labeled continued:hl to token went.
Relative Clauses
Relative clauses work very similarly to attributive adjectives and adverbs:
they modify a predicate (usually a noun), but also act as predicates assigning
that noun a role. Again, we use SCENE and add a backlink to the modified
noun.
Dependency graph for sentence: the man that I talked to. Token man is labeled ENTITY and has an edge labeled SCENE to token talked. Token talked is labeled EXPRESSION-DYN and has an edge labeled EXPERIENCER:hl to token man and an edge labeled EXPERIENCER to token that and an edge labeled sender to token I and an edge labeled EXPERIENCER to token to.
Dependency graph for sentence: the man I talked to. Token man is labeled ENTITY and has an edge labeled SCENE to token talked. Token talked is labeled EXPRESSION-DYN and has an edge labeled EXPERIENCER:hl to token man and an edge labeled sender to token I and an edge labeled EXPERIENCER to token to.
Note that relative pronouns and stranded prepositions are annotated with the same role as the antecedent.
Note also that relative clauses need not be finite, but can, e.g., be headed by participles:
Dependency graph for sentence: the song liked by Kim. Token song is labeled ENTITY and has an edge labeled SCENE to token liked. Token liked is labeled EVALUATION and has an edge labeled evaluee:hl to token song and an edge labeled EXPERIENCER to token Kim.
Dependency graph for sentence: students living on campus. Token students is labeled ENTITY and has an edge labeled SCENE to token living. Token living is labeled LOCATION-HABIT and has an edge labeled has-location:hl to token students and an edge labeled location to token campus.
Dependency graph for sentence: without anything to lead up to it. Token anything is labeled ENTITY and has an edge labeled SCENE to token lead. Token lead is labeled SEQUENCE and has an edge labeled followed:hl to token anything and an edge labeled follows to token it.
Dependency graph for sentence: the man to talk to. Token man is labeled ENTITY and has an edge labeled SCENE-NECESSITY to token talk and an edge labeled EXPERIENCER to token to. Token talk is labeled EXPRESSION and has an edge labeled EXPERIENCER:hl to token man.
Dependency graph for sentence: sterbender Schwan. Token sterbender is labeled EXISTENCE-DEINIT and has an edge labeled existent:hl to token Schwan. Token Schwan is labeled ENTITY and has an edge labeled SCENE to token sterbender.
Dependency graph for sentence: gedeckter Tisch. Token gedeckter is labeled CONTACT-INIT and has an edge labeled surface:hl to token Tisch. Token Tisch is labeled ENTITY and has an edge labeled SCENE to token gedeckter.
Note also that the backlink need not go directly from the head of the relative clause, but can also have a more deeply embedded source:
Dependency graph for sentence: eine Gestalt , deren Magerkeit durch den Trainingsanzug noch betont wurde. Token Gestalt is labeled ENTITY and has an edge labeled SCENE to token betont. Token Magerkeit is labeled PROPERTY and has an edge labeled has-property:hl to token Gestalt and an edge labeled has-property to token deren. Token noch is labeled ACCOMPANIMENT and has an edge labeled accompanier to token betont. Token betont is labeled MESSAGE and has an edge labeled content to token Magerkeit and an edge labeled SENDER to token Trainingsanzug and an edge labeled SCENE to token noch.
Dependency graph for sentence: Atmosphäre , mit der sie sich zu umgeben wusste. Token Atmosphäre is labeled ENTITY and has an edge labeled SCENE to token wusste. Token umgeben is labeled SITUATION-INIT and has an edge labeled situator:hl to token Atmosphäre and an edge labeled situator to token der and an edge labeled CAUSER to token sie and an edge labeled situee to token sich. Token wusste is labeled META-POSSIBILITY and has an edge labeled participant to token sie and an edge labeled scene to token umgeben.
Relation Nominal Adjuncts
Relational nouns can likewise function as adjuncts assigning the modifiee a role. If there is an adposition, its semantic contribution is weak.
Dependency graph for sentence: In spite of all the good will , he came to doubt her. Token spite is labeled CONCESSION and has an edge labeled conceded to token will and an edge labeled asserted:hl to token came. Token came is labeled META-INIT and has an edge labeled SCENE:hl to token spite and an edge labeled participant to token he and an edge labeled scene to token doubt.