• Applied NLP for healthcare, law, finance and education
• Benchmarking, reproducibility and robustness
• Cognitive modeling, psycholinguistics and language structure
• Computational social science and digital humanities
• Corpus creation, annotation and evaluation
• Creative NLP (story generation, poetry, humor)
• Crisis informatics and environmental NLP
• Dialogue systems, conversational AI and agentic NLP
• Educational NLP and intelligent tutoring systems
• Embodied and interactive language agents
• Foundation model training, adaptation, prompting and alignment
• Human-AI collaboration and multi-agent communication
• Information extraction and knowledge-augmented NLP
• Large language models (LLMs) and generative AI
• Low-resource and endangered language technologies
• Machine translation and multilingual NLP
• Model efficiency, compression and deployment
• Multimodal NLP (vision-language, audio-language, video1language)
• Neural retrieval and retrieval-augmented generation (RAG)
• NLP tools, infrastructure and open-source ecosystems
• Question answering and text understanding
• Reasoning, factuality and verification
• Safety, ethics, bias and responsible NLP
• Semantics, discourse, pragmatics and text generation
• Social media and cultural text analysis
• Societal impact, policy and language rights
• Speech processing and spoken language technologies
• Theoretical foundations, interpretability and model analysis

Important Dates

• Submission Deadline : October 10, 2026
• Notification                   : October 24, 2026
• Final Manuscript Due : October 28, 2026
• Publication Date          : Determined by the Editor-in-Chief

H-Index