With the rapid development of information technology, online platforms have produced
enormous text resources. As a particular form of Information Extraction (IE), Event Extraction …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

Event extraction has attracted much attention in recent years due to its potential for many
applications. However, recent studies observe some evaluation challenges, suggesting that …

A growing interest emerges in event extraction which aims to extract multiple events with
triggers and arguments. Previous methods mitigate the problem of multiple events extraction …

Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …

Extracting the reported events from text is one of the key research themes in natural
language processing. This process includes several tasks such as event detection …

Event extraction (EE) is a crucial task aiming at extracting events from texts, which includes
two subtasks: event detection (ED) and event argument extraction (EAE). In this paper, we …

Event extraction aims to identify an event and then extract the arguments participating in the
event. Despite the great success in sentencelevel event extraction, events are more …

Event extraction, a specialized stream of information extraction rooted back into the 1980s,
has greatly gained in popularity due to the advent of big data and the developments in the …

Event extraction is an important task in natural language processing that focuses on mining
event-related information from unstructured text. Despite considerable advancements, it is …