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TDJEE: A Document-Level Joint Model for Financial Event Extraction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-74958-5_42openalex-snapshot
Analyzing Co-training Style Algorithms
inferredcites →https://doi.org/10.1016/j.dss.2016.02.006openalex-snapshot
A Survey of event extraction methods from text for decision support systems
inferredcites →https://doi.org/10.1109/69.469825openalex-snapshot
Acquisition of linguistic patterns for knowledge-based information extraction
inferredcites →https://doi.org/10.1109/acvmot.2005.107openalex-snapshot
Semi-Supervised Self-Training of Object Detection Models
inferredcites →https://doi.org/10.1142/s0219427903000826openalex-snapshot
A Design of Temporal Event Extraction from Chinese Financial News
inferredcites →https://doi.org/10.1145/1014052.1014073openalex-snapshot
Mining and summarizing customer reviews
inferredcites →https://doi.org/10.1145/3377170.3377231openalex-snapshot
Textual Information Extraction Model of Financial Reports
inferredcites →https://doi.org/10.18653/v1/d19-1032openalex-snapshot
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
inferredcites →https://doi.org/10.18653/v1/d19-5102openalex-snapshot
Financial Event Extraction Using Wikipedia-Based Weak Supervision
inferredcites →https://doi.org/10.18653/v1/n18-2074openalex-snapshot
Self-Attention with Relative Position Representations
inferredcites →https://doi.org/10.18653/v1/n19-1105openalex-snapshot
Adversarial Training for Weakly Supervised Event Detection
inferredcites →https://doi.org/10.18653/v1/p17-1038openalex-snapshot
Automatically Labeled Data Generation for Large Scale Event Extraction
inferredcites →https://doi.org/10.18653/v1/p18-2066openalex-snapshot
Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention
inferredcites →https://doi.org/10.18653/v1/p18-4009openalex-snapshot
DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data
inferredcites →https://doi.org/10.3115/1620853.1620910openalex-snapshot
Language specific issue and feature exploration in Chinese event extraction
inferredcites →https://doi.org/10.3115/980451.980914openalex-snapshot
Toward general-purpose learning for information extraction
inferredcites →https://doi.org/10.3115/980845.980914openalex-snapshot
Toward general-purpose learning for information extraction
inferredcites →https://doi.org/10.3115/v1/p15-1017openalex-snapshot
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/electronics9101583openalex-snapshot
A Survey of Context-Aware Recommendation Schemes in Event-Based Social Networks
inferredcites →https://doi.org/10.3390/electronics9101637openalex-snapshot
Entity–Relation Extraction—A Novel and Lightweight Method Based on a Gate Linear Mechanism
inferredcites →https://doi.org/10.3390/electronics9101666openalex-snapshot
Accelerating Event Detection with DGCNN and FPGAs
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1911.10783openalex-snapshot
Financial Event Extraction Using Wikipedia-Based Weak Supervision
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-08337-2_24openalex-snapshot
AutoMC: Learning Regular Expressions for Automated Management Change Event Extraction from News Articles
inferred← citeshttps://doi.org/10.1007/978-3-031-20429-6_12openalex-snapshot
Event Detection and Information Extraction Strategies from Text: A Preliminary Study Using GENIA Corpus
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104986openalex-snapshot
Latent relation-aware graph framework for document-level Chinese financial event extraction
inferred← citeshttps://doi.org/10.1109/icekim55072.2022.00093openalex-snapshot
A Method of Extracting Discipline Inspection Cases Based on Deep Learning
inferred← citeshttps://doi.org/10.1145/3584376.3584478openalex-snapshot
A Document-level Event Extraction Method Based on Mogrifier LSTM
inferred← citeshttps://doi.org/10.18653/v1/2021.nllp-1.20openalex-snapshot
Learning from Limited Labels for Long Legal Dialogue
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.291openalex-snapshot
DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction
inferred← citeshttps://doi.org/10.32604/cmc.2024.046851openalex-snapshot
Survey and Prospect for Applying Knowledge Graph in Enterprise Risk Management
inferred← citeshttps://doi.org/10.3390/ijgi11060345openalex-snapshot
EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network
inferred← citeshttps://doi.org/10.3390/su17083391openalex-snapshot
The Exploration of a Causal Mechanism for Corporate Environmental Performance in Hydropower Engineering Enterprises: Evidence from China and the United States
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