Event argument extraction has long been studied as a sequential prediction problem with
extractive-based methods, tackling each argument in isolation. Although recent work …

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 argument extraction (EAE) is a sub-task of event extraction where the goal is to
identify roles of entity mentions for events in text. The current state-of-the-art approaches for …

Document-level event argument extraction aims to identify event arguments beyond
sentence level, where a significant challenge is to model long-range dependencies …

Document-level information extraction (IE) is a crucial task in natural language processing
(NLP). This paper conducts a systematic review of recent document-level IE literature. In …

Recent works have introduced Abstract Meaning Representation (AMR) for Document-level
Event Argument Extraction (Doc-level EAE), since AMR provides a useful interpretation of …

Document-level Event Argument Extraction (EAE) requires the model to extract arguments of
multiple events from a single document. Considering the underlying dependencies between …

There are two key challenges remaining for the document-level event argument extraction
tasks: long-range dependency and same-role argument assignment. The existing methods …

The event extraction task typically consists of event detection and event argument extraction.
Most previous work models these two subtasks with shared representation by multiple …

Cross-lingual transfer-learning is widely used in Event Extraction for low-resource
languages and involves a Multilingual Language Model that is trained in a source language …