Event Detection (ED) aims to recognize mentions of events (ie, event triggers) and their
types in text. Recently, several ED datasets in various domains have been proposed …

Abstract Implicit Event Argument Extraction seeks to identify arguments that play direct or
implicit roles in a given event. However, most prior works focus on capturing direct relations …

Event argument extraction is an essential task in event extraction, and become particularly
challenging in the case of low-resource scenarios. We solve the issues in existing studies …

The goal of Event Argument Extraction (EAE) is to find the role of each entity mention for a
given event trigger word. It has been shown in the previous works that the syntactic …

In this work, we focus on Cross-Lingual Event Detection where a model is trained on data
from a source language but its performance is evaluated on data from a second, target …

Abstract The task of Event Detection (ED) in Information Extraction aims to recognize and
classify trigger words of events in text. The recent progress has featured advanced …

Event argument extraction (EAE) aims to identify the arguments of an event and classify the
roles that those arguments play. Despite great efforts made in prior work, there remain many …

Abstract Event Argument Extraction (EAE) is one of the sub-tasks of event extraction, aiming
to recognize the role of each entity mention toward a specific event trigger. Despite the …

Vulnerable third-party libraries pose significant threats to software applications that reuse
these libraries. At an industry scale of reuse, manual analysis of third-party library …

As a challenging sub-task of event argument extraction, implicit event argument extraction
seeks to identify document-level arguments that play direct or implicit roles in a given event …