Prompt-based Graph Model for Joint Liberal Event Extraction and Event Schema Induction

arXiv:2403.12526v1 Announce Type: new
Abstract: Events are essential components of speech and texts, describing the changes in the state of entities. The event extraction task aims to identify and classify events and find their participants according to event schemas. Manually predefined event schemas have limited coverage and are hard to migrate across domains. Therefore, the researchers propose Liberal Event Extraction (LEE), which aims to extract events and discover event schemas simultaneously. However, existing LEE models rely heavily on external language …

abstract arxiv components coverage cs.cl event events extraction graph identify prompt schema speech state type