ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.16358
  4. Cited By
From Simple to Complex: A Progressive Framework for Document-level
  Informative Argument Extraction

From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction

25 October 2023
Quzhe Huang
Yanxi Zhang
Dongyan Zhao
    AI4TS
ArXivPDFHTML

Papers citing "From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction"

3 / 3 papers shown
Title
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
Guanghui Wang
Dexi Liu
Jian-Yun Nie
Qizhi Wan
Rong Hu
Xiping Liu
Wanlong Liu
Jiaming Liu
84
0
0
22 May 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in
  Event Extraction
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
Kuan-Hao Huang
I-Hung Hsu
Tanmay Parekh
Zhiyu Xie
Zixuan Zhang
Premkumar Natarajan
Kai-Wei Chang
Nanyun Peng
Heng Ji
24
16
0
16 Nov 2023
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
243
289
0
17 Mar 2020
1