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DREEAM: Guiding Attention with Evidence for Improving Document-Level
  Relation Extraction

DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction

17 February 2023
Youmi Ma
An Wang
Naoaki Okazaki
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Papers citing "DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction"

5 / 5 papers shown
Title
CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
Khai Phan Tran
Xue Li
31
0
0
09 Apr 2025
When does In-context Learning Fall Short and Why? A Study on
  Specification-Heavy Tasks
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Y. Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
24
27
0
15 Nov 2023
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
Lea Demelius
Hanh Thi Hong Tran
Roman Kern
Georgeta Bordea
Andreas Trügler
Antoine Doucet
13
3
0
28 Sep 2023
Revisiting DocRED -- Addressing the False Negative Problem in Relation
  Extraction
Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
Sharifah Mahani Aljunied
38
63
0
25 May 2022
NCRF++: An Open-source Neural Sequence Labeling Toolkit
NCRF++: An Open-source Neural Sequence Labeling Toolkit
Jie Yang
Yue Zhang
50
188
0
14 Jun 2018
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