ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.16396
  4. Cited By
A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
v1v2v3 (latest)

A Comprehensive Survey of Document-level Relation Extraction (2016-2023)

28 September 2023
Lea Demelius
Hanh Thi Hong Tran
Roman Kern
Georgeta Bordea
Andreas Trügler
Antoine Doucet
ArXiv (abs)PDFHTMLGithub (29★)

Papers citing "A Comprehensive Survey of Document-level Relation Extraction (2016-2023)"

3 / 3 papers shown
Multi-Relation Extraction in Entity Pairs using Global Context
Multi-Relation Extraction in Entity Pairs using Global Context
Nilesh
Atul Gupta
Avinash C Panday
210
0
0
23 Jul 2025
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
Knowledge-augmented Pre-trained Language Models for Biomedical Relation ExtractionBMC Bioinformatics (BMC Bioinformatics), 2025
Mario Sanger
Ulf Leser
304
3
0
01 May 2025
When and Where Did it Happen? An Encoder-Decoder Model to Identify
  Scenario Context
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario ContextConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Enrique Noriega-Atala
Robert Vacareanu
Salena Torres Ashton
A. Pyarelal
Clayton T. Morrison
Mihai Surdeanu
235
0
0
10 Oct 2024
1
Page 1 of 1