hubecall | Tag : natural language processing https://hubecall.com/tag/natural-language-processing Derniers appels à publications avec le tag 'natural language processing'. Thu, 13 Aug 2026 04:31:20 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr hubecall | Tag : natural language processing https://hubecall.com/public/favicon/android-chrome-96x96.png https://hubecall.com/tag/natural-language-processing hubecall © 2026 <![CDATA[Artificial Intelligence-based Assistants and Platforms]]> https://hubecall.com/call/springer-topical-collection-on-ai-based-assistants-and-platforms springer-topical-collection-on-ai-based-assistants-and-platforms Tue, 11 Aug 2026 21:25:02 GMT

Rainer Schmidt, Munich University of Applied Sciences

Rainer Alt, Leipzig University

Alfred Zimmermann, Reutlingen University

The Topical Collection on Artificial Intelligence-based Assistants and Platforms focuses on assistant systems (e.g. chatbots, recommenders) that are based on artificial intelligence and the interaction with users via declarative natural-language interfaces. They are present in various forms as well as industries and often assume a platform logic when services and devices from different providers are included.

The Topical Collection relates to a minitrack at the Hawaii International Conference on System Sciences (HICSS) and comprises research on novel methods, models, processes, and approaches related to the design, implementation, deployment, operation, and optimization of AI-based assistants and platforms for the digital economy.

Potential topics

  • Design, implementation, and deployment of AI-based assistants and platforms
  • Novel methods and models for AI-based assistants (e.g., chatbots, recommenders)
  • Natural language interfaces and user interaction with AI systems
  • Platform logic and integration of services from different providers
  • Operation and optimization of AI-based assistants and platforms for the digital economy
  • AI-based assistants in various industries and applications

Timeline

  • Invalid DateTime: Submission deadline
]]> Electronic Markets (SPRINGER) <![CDATA[Text as Knowledge for Innovation Management: Ensuring Research Relevance and Rigor with NLP and LLMs]]> https://hubecall.com/call/elsevier-text-as-knowledge-for-innovation-management-ensuring-research-relevance-and-rigor-with-nlp-and-llms-2 elsevier-text-as-knowledge-for-innovation-management-ensuring-research-relevance-and-rigor-with-nlp-and-llms-2 Tue, 11 Aug 2026 10:27:21 GMT

Timeline

  • March 31, 2027: Full paper submission deadline
]]> Technovation (ELSEVIER) <![CDATA[Large Language Models (LLMs) for Tourism and Tourists]]> https://hubecall.com/call/elsevier-joint-special-issue-call-for-papers-large-language-models-llms-for-tourism-and-tourists elsevier-joint-special-issue-call-for-papers-large-language-models-llms-for-tourism-and-tourists Tue, 11 Aug 2026 10:27:21 GMT

This special issue invites submissions exploring the applications, implications, and innovations of Large Language Models (LLMs) in the tourism industry and for enhancing tourist experiences. The rapidly evolving landscape of artificial intelligence presents unprecedented opportunities and challenges for tourism stakeholders, from destination management organizations to hospitality providers to individual travelers.

Potential topics

  • Applications of LLMs in tourism management and operations
  • LLMs for personalized tourist experiences and recommendations
  • Natural language processing applications in tourism marketing
  • LLMs for tourism chatbots and customer service
  • Language translation and communication in tourism contexts
  • LLMs for travel planning and itinerary generation
  • Sentiment analysis and tourist feedback analysis using LLMs
  • LLMs for tourism research and data analysis

Timeline

  • August 31, 2026: Full paper submission deadline
]]> Annals of Tourism Research (ELSEVIER) <![CDATA[Large Language Models (LLMs) for Tourism and Tourists]]> https://hubecall.com/call/elsevier-joint-special-issue-call-for-papers-large-language-models-llms-for-tourism-and-tourists-2 elsevier-joint-special-issue-call-for-papers-large-language-models-llms-for-tourism-and-tourists-2 Tue, 11 Aug 2026 10:27:21 GMT

This special issue focuses on the applications and implications of Large Language Models (LLMs) in the tourism sector. We invite research exploring how LLMs can enhance tourist experiences, improve tourism service delivery, and support both tourism businesses and individual travelers. The issue welcomes empirical studies, theoretical frameworks, case studies, and critical analyses of LLM technologies in tourism contexts.

Potential topics

  • Applications of LLMs in tourism industry
  • LLMs for personalized tourist recommendations
  • Natural language processing for tourism content
  • Chatbots and virtual assistants in tourism
  • Tourist information retrieval using LLMs
  • Language translation for tourism
  • Sentiment analysis of tourist reviews
  • LLM-based travel planning and itinerary generation
  • Multilingual tourism communication
  • AI ethics in tourism applications

Timeline

  • August 31, 2026: Submission deadline
]]> Information Processing & Management (ELSEVIER)