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PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with
  Relation-Aware Score Calibration

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration

25 September 2023
Minseok Choi
Hyesu Lim
Jaegul Choo
ArXivPDFHTML

Papers citing "PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration"

4 / 4 papers shown
Title
GEGA: Graph Convolutional Networks and Evidence Retrieval Guided
  Attention for Enhanced Document-level Relation Extraction
GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction
Yanxu Mao
Peipei Liu
Tiehan Cui
29
0
0
31 Jul 2024
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
44
64
0
25 May 2022
Improving Long Tailed Document-Level Relation Extraction via Easy
  Relation Augmentation and Contrastive Learning
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning
Yangkai Du
Tengyu Ma
Lingfei Wu
Yiming Wu
Xuhong Zhang
Bo Long
S. Ji
14
3
0
21 May 2022
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation
  Extraction
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Manqing Dong
Chunguang Pan
Zhipeng Luo
149
41
0
09 Sep 2021
1