Recent Trends and Advances in the Natural Language Processing
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 7944
Special Issue Editors
Interests: natural language processing; text mining; semantic web
Interests: natural language processing; text mining; computer vision
Special Issue Information
Dear Colleagues,
Natural language processing (NLP) is one of the most exciting areas of artificial intelligence. The rapid growth of social media and digital articles creates significant challenges in analyzing vast user data to generate insights. Furthermore, interactive automation systems such as chatbots are unable to fully replace humans, due to their lack of understanding of semantics and context. As unstructured data grow, NLP techniques are evolving to better understand the nuances, contexts, and ambiguity of human language. Novel technologies have been developed to meet the various requirements in NLP intelligent systems. This Special Issue offers a timely collection of original contributions of works to benefit the researchers and practitioners in the research fields of new trends and applications in natural language processing. The Special Issue focuses on the use and exploration of new technologies (see keywords) for NLP-related tasks, including (but not limited to) information extraction, information retrieval, sentiment analysis, machine translation, text summarization, and dialogue systems.
Prof. Dr. Chen Li
Prof. Dr. Jun Liu
Dr. Tieliang Gong
Guest Editors
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Keywords
- language model
- few-shot learning for NLP
- reinforcement learning for NLP
- lifelong learning for NLP
- graph learning for NLP
- multilingual NLP
- multimodel NLP
- reinforcement learning for NLP
- intelligent applications with NLP
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