Advances in Natural Language Processing and Their Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 770
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, huge progress has been made in natural language processing. Initially, this progress has been related to the advent of large language models. We must acknowledge that state-of-the-art language processing and understanding systems are almost able to reach a level of performance that is close to humans, at least in some areas and applications. But still, there are lots of problems that require further analysis and investigation. How much data do we need to reach a human-level performance? Do we really need such large amounts of data? We as humans can learn from a much smaller amount of data. How can we guarantee that the model in one language will be adequately transferred to another language? How can text generation systems add emotional content to the text messages in a close-to-human way? These are only a few examples of the questions that require further research and new ideas and solutions. Of course, this is not an exhaustive list of problems that the research community faces in the area of natural language processing.
In this context, for the Special Issue entitled “Advances in Natural Language Processing and Their Applications”, we invite original research and comprehensive reviews on, but not limited to, the following areas:
- Architecture for the natural language processing systems;
- Advances in feature extraction for natural language processing;
- Datasets and their properties for natural language processing systems;
- Language differences and how to deal with them;
- Words and phrases with multiple meanings;
- Methods to speed up the development and reduce the costs of NLP systems;
- Differences between human- and computer-generated text perception;
- Discrimination between human- and computer-generated texts;
- Advances in sentiment analysis;
- Dealing with misspellings;
- Advances in NLP applications;
And others.
Dr. Vytautas Rudžionis
Guest Editor
Manuscript Submission Information
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Keywords
- natural language processing
- NLP applications
- natural language processing systems
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