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 (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 …

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

Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …

Event extraction is a ftask for natural language processing. Finding the roles of event
arguments like event participants is essential for event extraction. However, doing so for real …

In this paper, we propose a new network-based model to uniformly represent the structured,
semi-structured and unstructured sources of a data lake, which is one of the newest and …

Schema-based event extraction is a critical technique to apprehend the essential content of
events promptly. With the rapid development of deep learning technology, event extraction …

Recently, research on event management has redrawn much attention and made great
progress. As the core tasks of event management, event modeling and mining are essential …

Event extraction (EE), which acquires structural event knowledge from texts, can be divided
into two sub-tasks: event type classification and element extraction (namely identifying …

Epidemic event extraction aims to extract incidents of public health importance from text,
such as disease outbreaks. While event extraction has been extensively researched for high …