Efficient End-to-end Learning of Cross-event Dependencies for Document-level Event Extraction

10/24/2020
by   Kung-Hsiang Huang, et al.
0

Document-level event extraction is important for indexing the most important information in a document to facilitate downstream tasks such as information retrieval or question answering. However, it is a challenging task because it requires the understanding of event and entity coreference, and capturing arguments that span across different sentences. Existing works on event extraction generally confine on extracting events from single sentences, which fail to capture the relationships between the event mentions at the scale of a document, as well as the event arguments that appear in a different sentence than the event trigger. In this paper, we propose an end-to-end model leveraging Deep Value Networks (DVN), a structured prediction algorithm, to efficiently capture cross-event dependencies for document-level event extraction. Experimental results show that our approach achieves comparable performance to CRF-based model on ACE05, while enjoys significantly higher efficiency.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/16/2019

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

Most existing event extraction (EE) methods merely extract event argumen...
04/28/2020

Event Extraction by Answering (Almost) Natural Questions

The problem of event extraction requires detecting the event trigger and...
09/15/2020

Event Presence Prediction Helps Trigger Detection Across Languages

The task of event detection and classification is central to most inform...
06/17/2021

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

Event extraction is challenging due to the complex structure of event re...
05/20/2021

MLBiNet: A Cross-Sentence Collective Event Detection Network

We consider the problem of collectively detecting multiple events, parti...
05/02/2021

Event Argument Extraction using Causal Knowledge Structures

Event Argument extraction refers to the task of extracting structured in...
02/07/2022

Document-Level Event Extraction via Human-Like Reading Process

Document-level Event Extraction (DEE) is particularly tricky due to the ...