Deep Learning and Its Applications in Anomaly Detection and Natural Language Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 6119
Special Issue Editors
Interests: natural language processing; deep learning; data mining; network security
Interests: natural language processing; data mining; computational intelligence
Interests: machine learning; deep learning; time series data analysis; weakly supervised learning
Special Issue Information
Dear Colleagues,
Natural Language Processing (NLP) and anomaly detection are key branches of deep learning. NLP focuses on enabling machines to understand the human language. Anomaly detection aims to identify the unexpected items or events in data sets, and has been widely applied in fraud detection, network intrusion detection, and cancer detection. Recently, a lot of effort in NLP and anomaly detection has achieved remarkable success in tasks, such as question answering, machine translation, smart assistants, and fraud detection. Pre-trained language models, such as BERT, GPT-3, and ChatGPT, have been widely applied in NLP and anomaly detection. They are also crucial to a wide range of other research topics, for biomedical information processing, knowledge graph, and multimodal intelligence. However, numerous relevant unsolved theoretical and technological problems await further research. We welcome original research articles reporting the development of novel ideas, models, and algorithms on deep learning, and their application in anomaly detection and natural language processing.
This Special Issue welcomes submissions covering a wide range of topic areas (though not limited to these):
- Deep learning/Machine learning;
- Anomaly detection;
- Named entity recognition;
- Relation extraction;
- Question answering;
- Machine translation;
- knowledge graph;
- Disambiguation;
- Summarization.
Prof. Dr. Jiang Zhong
Prof. Dr. Ying Xie
Dr. Weitong Chen
Prof. Dr. Xue Li
Guest Editors
Manuscript Submission Information
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Keywords
- deep learning
- anomaly detection
- natural language processing
- named entity recognition
- relation extraction
- knowledge graph