analyzes language by breaking it down into events, states, and processes. This approach helps us understand how sentences represent actions, conditions, and ongoing activities, providing a framework for interpreting meaning in context.
By examining temporal and causal relationships, event semantics captures the nuances of different verb types and modifiers. This method offers a rich toolkit for dissecting complex linguistic phenomena and building compositional analyses of sentence meaning.
Event Semantics
Basics of event semantics
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Represents meaning of linguistic expressions using events, states, and processes
Events are occurrences happening at a specific time and location
"John kicked the ball" and "Mary ate an apple" depict events
States are conditions or situations holding true over a period of time
"The book is on the table" and "John loves Mary" illustrate states
Processes are ongoing activities extending over time
"John is running" and "The water is boiling" exemplify processes
Temporal and causal representation
Captures temporal structure of events by representing duration and ordering
Events can be punctual (happening at a single point) or durative (extending over a period)
Temporal ordering represented using relations like "before", "after", and "during"
Represents causal structure by capturing relationships between events and participants
Thematic roles (agent, patient, instrument) represent roles of participants in an event
Causation represented by linking events through causal relations ("cause", "enable", "prevent")
Application to predicate types
Action verbs ("kick", "eat") denote events involving an agent performing an action
"John kicked the ball" represented as event with John as agent and ball as patient
Stative verbs ("love", "believe") denote states holding true over a period
"John loves Mary" represented as state holding true for a certain duration
Aspectual modifiers ("for an hour", "in an hour") specify temporal properties of events or states
"John ran for an hour" represented as process event with one hour duration
Advantages for semantic analysis
Provides rich and expressive framework for representing temporal and causal structure
Captures complex semantic phenomena by representing events as entities with temporal and causal properties