VerbNet

Input sentence into a syntactic parser.

Identify the main verb in the sentence.

Lookup the verb in VerbNet to find its class.

Use the VerbNet frame to determine possible thematic roles for the arguments.

Assign the most likely thematic role to each argument based on syntactic and semantic restrictions.

Parse the source sentence and identify the main verb.

Lookup the verb in VerbNet to identify its semantic class.

Translate the verb and its arguments into the target language.

Ensure that the translated verb and arguments maintain the same thematic roles as the source sentence.

Generate the translated sentence.

Parse the text and identify all the verbs.

Lookup each verb in VerbNet to determine its importance based on its class.

Extract the arguments associated with the most important verbs.

Summarize the text by including the most important verbs and their arguments.

Generate the summary.

Parse the question and identify the main verb.

Lookup the verb in VerbNet to find its class and thematic roles.

Parse the context text and identify sentences containing the same verb or verbs from the same class.

Extract the arguments associated with the verb in the context text.

Match the arguments to the thematic roles in the question to find the answer.

Parse the text and identify all the verbs.

Lookup each verb in VerbNet to determine its class and thematic roles.

Extract the arguments associated with each verb.

Store the extracted information in a structured format (e.g., a database or knowledge graph).

Use the structured information for data analysis or decision-making.