CFERE: Multi-type Chinese financial event relation extraction-Reference-Cited by-同舟云学术

CFERE: Multi-type Chinese financial event relation extraction

Published:2023-06 Issue: Volume:630 Page:119-134
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wan Qizhi^ORCID,Wan Changxuan,Xiao Keli,Hu Rong,Liu Dexi,Liu Xiping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference40 articles.

1. An association-constrained LDA model for joint extraction of product aspects and opinions;Wan;Inf. Sci.,2020

2. Boosting approximate dictionary-based entity extraction with synonyms;Wang;Inf. Sci.,2020

3. Unified generative adversarial networks for multiple-choice oriented machine comprehension;Liu;ACM Trans. Intell. Syst. Technol.,2020

4. A multi-channel hierarchical graph attention network for open event extraction;Wan;ACM Trans. Inf. Syst.,2023

5. Classifier-adaptation knowledge distillation framework for relation extraction and event detection with imbalanced data;Song;Inf. Sci.,2021

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