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 …

Event is a common but non-negligible knowledge type. How to identify events from texts,
extract their arguments, even analyze the relations between different events are important …

Recent progress in cross-lingual relation and event extraction use graph convolutional
networks (GCNs) with universal dependency parses to learn language-agnostic sentence …

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

Event argument extraction (EAE) aims to identify the arguments of a given event, and
classify the roles that those arguments play. Due to high data demands of training EAE …

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 …

Zero-shot cross-lingual event argument extraction (EAE) is a challenging yet practical
problem in Information Extraction. Most previous works heavily rely on external structured …

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 trigger extraction is an information extraction task of practical utility, yet it is
challenging due to the difficulty of disambiguating word sense meaning. Previous …