EFFICIENT ZERO-SHOT EVENT EXTRACTION WITH CONTEXT-DEFINITION ALIGNMENT

원문 (중국어)

A zero-shot event extraction model training method, performed by a computer device, includes obtaining from memory a raw text corpus and verbal synsets; extracting event type definitions from the verbal synsets; generating alignment data by aligning sentences from the raw corpus with the event type definitions; training a first encoder, based on the alignment data, to embed target mentions within the sentences into a shared embedding space; training a second encoder to embed the event type definitions into the shared embedding space; and obtaining a zero-shot event extraction model including the trained encoders, the model being configured to receive a sentence including a candidate mention and event type definitions, and output, for the candidate mention, similarity scores corresponding to the event type definitions or a predicted event type label.