Natural Language Processing and Information Systems: 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25–27, 2024, Proceedings, Part II
Author:   Amon Rapp ,  Luigi Di Caro ,  Farid Meziane ,  Vijayan Sugumaran
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   14763
ISBN:  

9783031702419


Pages:   412
Publication Date:   20 September 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Natural Language Processing and Information Systems: 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25–27, 2024, Proceedings, Part II


Overview

The two-volume proceedings set LNCS 14762 and 14763 constitutes the refereed proceedings of the 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, held in Turin, Italy, in June 25–27, 2024. The 35 full papers, 26 short papers, 3 demo papers and 8 industry track papers included in these books were carefully reviewed and selected from 141 submissions. They focus on advancements and support studies related to languages previously underrepresented, such as Arabic, Romanian, Italian and Japanese languages. Chapter “Meet XLM-RLnews-8: Not Just Another Sentiment Analysis Model” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Full Product Details

Author:   Amon Rapp ,  Luigi Di Caro ,  Farid Meziane ,  Vijayan Sugumaran
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   14763
ISBN:  

9783031702419


ISBN 10:   3031702417
Pages:   412
Publication Date:   20 September 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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NOV RG 20252

 

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