Natural Language Processing in the Era of Artificial Intelligence
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 1199
Special Issue Editors
Interests: natural language processing; computational linguistics; web of linked data; content analysis; social media and health information; applied and computational statistics; integrated health informatics system; assisted decision systems; research ethics
Special Issues, Collections and Topics in MDPI journals
Interests: spinal cord injury and regeneration; analysis of the speech of suicidal individuals; temporality in health records; information extraction from epilepsy clinic notes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In an era when massive amounts of data have become available, researchers across various domains increasingly require the expertise of language engineers to process large quantities of literature, data, and records. Whether in healthcare, finance, education, social sciences, or any other field, linking the contents of these documents to each other, as well as to specialized ontologies, can enable access to and discovery of structured information, fostering significant advancements in natural language processing and research.
This Special Issue aims to gather innovative approaches for the exploitation of data using semantic web technologies and linked data by bringing together practitioners, researchers, and scholars to share examples, use cases, theories, and analyses across different fields. The main objective of this Special Issue is to consolidate an internationally appreciated forum for scientific research, with emphasis on crowdsourcing, the semantic web, knowledge integration, and data linking.
Dr. Daniela Gîfu
Dr. Kevin Cohen
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- natural language processing/text mining
- data science/applied mathematics
- knowledge integration
- semantic web technologies
- open linked data
- crowdsourcing
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
In an era when massive amounts of data have become available, researchers across various domains increasingly require the expertise of language engineers to process large quantities of literature, data, and records. Whether in healthcare, finance, education, social sciences, or any other field, linking the contents of these documents to each other, as well as to specialized ontologies, can enable access to and discovery of structured information, fostering significant advancements in natural language processing and research.
This Special Issue aims to gather innovative approaches for the exploitation of data using semantic web technologies and linked data by bringing together practitioners, researchers, and scholars to share examples, use cases, theories, and analyses across different fields. The main objective of this Special Issue is to consolidate an internationally appreciated forum for scientific research, with emphasis on crowdsourcing, the semantic web, knowledge integration, and data linking.
