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DL Frontiers in NLP 2026 : Deep Learning Frontiers in Natural Language Processing (DL Frontiers in NLP) at IEEE ISSATK 2026

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When Apr 25, 2026 - Apr 27, 2026
Where Hammamet, Tunisia
Submission Deadline Jan 20, 2026
Notification Due Feb 10, 2026
Final Version Due Feb 15, 2026
Categories    computer science   natural language processing   artificial intelligence   deep learning
 

Call For Papers

Special Session: Deep Learning Frontiers in Natural Language Processing (DL Frontiers in NLP)
Conference: IEEE ISSATK 2026
Location: Hammamet, Tunisia
Dates: April 25–27, 2026
Website: https://issatk2026.sciencesconf.org/data/pages/Special_Session_DL_NLP.pdf

Scope

The Deep Learning Frontiers in Natural Language Processing special session focuses on recent advances and emerging trends in deep learning methods for Natural Language Processing (NLP). The session aims to bring together researchers and practitioners to present innovative approaches, discuss open challenges, and explore future directions in deep learning–based NLP, including theoretical advances and practical applications.

Topics of interest include, but are not limited to:

- Machine translation (statistical, neural, multilingual)
- Sentiment, emotion, and stance analysis
- Question answering and reading comprehension
- Text classification and categorization
- Named entity recognition and information extraction
- Text summarization (extractive and abstractive)
- Dialogue systems, chatbots, and conversational agents
- Multilingual and cross-lingual NLP
- Low-resource and resource-constrained NLP
- Semantic role labeling and word sense disambiguation
- Natural language inference and textual entailment
- Knowledge base population and relation extraction
- Event extraction and temporal reasoning
- Code-switching and style transfer
- Data augmentation for NLP tasks
- Fake news detection and misinformation analysis
- Toxicity detection and content moderation
- Plagiarism detection and authorship identification
- Domain-specific NLP (medical, legal, financial, etc.)


Paper Submission

Submitted papers must be original and not under review elsewhere. Papers should be written in English, with a maximum length of 6 pages, following the IEEE two-column conference format.


Track: Deep Learning Frontiers in Natural Language Processing
Templates: https://www.ieee.org/conferences/publishing/templates.html
submission link: https://easychair.org/conferences?conf=issatk2026

Important Dates

Paper submission deadline: January 20, 2026
Notification of acceptance: February 10, 2026
Camera-ready submission: February 13, 2026
Registration deadline: February 20, 2026
Conference dates: April 25–27, 2026

Publication

All accepted papers will be published in the IEEE ISSATK 2026 Proceedings and submitted for inclusion in IEEE Xplore, subject to IEEE approval.

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