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TTM-RE: Memory-Augmented Document-Level Relation Extraction

TTM-RE: Memory-Augmented Document-Level Relation Extraction

9 June 2024
Chufan Gao
Xuan Wang
Jimeng Sun
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Papers citing "TTM-RE: Memory-Augmented Document-Level Relation Extraction"

4 / 4 papers shown
Title
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM
Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM
Lei Zhao
Ling Kang
Quan Guo
20
0
0
02 May 2025
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP
  Tasks
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Yuxiang Wu
Yu Zhao
Baotian Hu
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
RALM
KELM
41
42
0
30 Oct 2022
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
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
221
126
0
25 May 2022
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