Information extraction (IE) using GNNs

IE is a crucial task in NLP that involves automatically extracting structured information from unstructured text. GNNs have shown promising results in this domain, particularly in event extraction and open IE. In this section, we explore how GNNs are applied to these IE tasks.

Event extraction

Event extraction is the task of identifying and categorizing events mentioned in text, along with their participants and attributes. GNNs have proven effective in this task due to their ability to capture complex relationships between entities and events in a document.

Graph construction for event extraction

In event extraction, a document is typically represented as a graph where nodes represent entities, events, and tokens, while edges represent various relationships such as syntactic dependencies, coreference links, and temporal order.

Consider the following sentence: “John Smith resigned as CEO of TechCorp on Monday.”

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