Search Results for author: Di Geng

Found 2 papers, 0 papers with code

GraphERE: Jointly Multiple Event-Event Relation Extraction via Graph-Enhanced Event Embeddings

no code implementations19 Mar 2024 Haochen Li, Di Geng

First, we enrich the event embeddings with event argument and structure features by using static AMR graphs and IE graphs; Then, to jointly extract multiple event relations, we use Node Transformer and construct Task-specific Dynamic Event Graphs for each type of relation.

Event Relation Extraction Multi-Task Learning +2

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

no code implementations19 Mar 2024 Haochen Li, Di Geng

Therefore, the researchers propose Liberal Event Extraction (LEE), which aims to extract events and discover event schemas simultaneously.

Event Extraction

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