Document-level Relation Extraction as Semantic Segmentation

06/07/2021
by   Ningyu Zhang, et al.
0

Document-level relation extraction aims to extract relations among multiple entity pairs from a document. Previously proposed graph-based or transformer-based models utilize the entities independently, regardless of global information among relational triples. This paper approaches the problem by predicting an entity-level relation matrix to capture local and global information, parallel to the semantic segmentation task in computer vision. Herein, we propose a Document U-shaped Network for document-level relation extraction. Specifically, we leverage an encoder module to capture the context information of entities and a U-shaped segmentation module over the image-style feature map to capture global interdependency among triples. Experimental results show that our approach can obtain state-of-the-art performance on three benchmark datasets DocRED, CDR, and GDA.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/21/2022

A Masked Image Reconstruction Network for Document-level Relation Extraction

Document-level relation extraction aims to extract relations among entit...
05/28/2022

Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction

Compared with traditional sentence-level relation extraction, document-l...
12/21/2020

Document-Level Relation Extraction with Reconstruction

In document-level relation extraction (DocRE), graph structure is genera...
04/21/2020

Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction

Relation ties, defined as the correlation and mutual exclusion between d...
04/23/2015

x.ent: R Package for Entities and Relations Extraction based on Unsupervised Learning and Document Structure

Relation extraction with accurate precision is still a challenge when pr...
06/18/2021

A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

In this paper, we propose a novel edge-editing approach to extract relat...
10/21/2020

Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

Document-level relation extraction (RE) poses new challenges compared to...