Event Recognition Based on Deep Learning in Chinese Texts
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Summary
The dynamic-supervised DBN is proposed, which adds supervised fine-tuning to a restricted Boltzmann machine layer by monitoring its training performance and reveals that the new DBN improves recognition performance and effectively controls the training time.
- Type
- article
- Published
- 2016-08-08
- Cited by
- 17
- References
- 45
- Access
- Open access
- OpenAlex
- https://openalex.org/W27501231
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:25087736
Keywords
Geology
References
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- A support vector machine-based context-ranking model for question answering
- Ontology-based fuzzy event extraction agent for Chinese e-news summarization
- Event-Based Knowledge Acquisition for Ontology Learning
- The stages of event extraction
- Products of experts
- AskHERMES: An online question answering system for complex clinical questions
- Event Extraction with Complex Event Classification Using Rich Features
Cited by
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- Andro_MD: Android Malware Detection based on Convolutional Neural Networks
- Chinese Event Extraction Based on Attention and Semantic Features: A Bidirectional Circular Neural Network
- A deep learning methodology for automatic extraction and discovery of technical intelligence
- A novel non-negative matrix factorization technique for decomposition of Chinese characters with application to secret sharing
- Deep Learning Black Box Problem
- Predicting the occurrence of surgical site infections using text mining and machine learning
- A study of Grammar Analysis in English Teaching With Deep Learning Algorithm
- A History and Theory of Textual Event Detection and Recognition
- Informal-to-Formal Word Conversion for Persian Language Using Natural Language Processing Techniques
- Capturing semantic features to improve Chinese event detection
- EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network
- Discrimination of first-onset patients with bipolar disorder or major depressive disorder using screened biochemical parameters
- Chinese Event Recognition via Ensemble Model
- Event Extraction via DMCNN in Open Domain Public Sentiment Information
- Design Event Extraction Model from Amharic Texts Using Deep Learning Approach
- Character-Based LSTM-CRF with Semantic Features for Chinese Event Element Recognition
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