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 …

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 requires high-quality expert human annotations, which are usually
expensive. Therefore, learning a data-efficient event extraction model that can be trained …

This paper introduces DuEE, a new dataset for Chinese event extraction (EE) in real-world
scenarios. DuEE has several advantages over previous EE datasets.(1) Scale: DuEE …

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 …

Event extraction (EE) is a crucial information extraction task that aims to extract event
information in texts. Most existing methods assume that events appear in sentences without …

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 …

Document-level event extraction (DEE) is indispensable when events are described
throughout a document. We argue that sentence-level extractors are ill-suited to the DEE …

Event extraction (EE) is an essential task of information extraction, which aims to extract
structured event information from unstructured text. Most prior work focuses on extracting flat …

Event extraction (EE) has considerably benefited from pre-trained language models (PLMs)
by fine-tuning. However, existing pre-training methods have not involved modeling event …