7th International Conference on Advanced Natural Language Processing (AdNLP 2026)

Memo

7th International Conference on Advanced Natural Language Processing (AdNLP 2026) June 20 ~ 21, 2026, Sydney, Australia https://sai2026.org/adnlp/index SCOPE 7th International Conference on Advanced Natural Language Processing (AdNLP 2026) serves as a premier global forum for researchers, practitioners and industry innovators to exchange cutting edge insights in the rapidly evolving field of Natural Language Processing. As NLP continues to transform the landscape of artificial intelligence, driving advancements in communication, knowledge discovery, and intelligent systems, AdNLP 2026 provides a vital platform for showcasing the latest theoretical developments, methodological breakthroughs, and impactful real-world applications. We warmly invite authors from academia, industry, and research institutions to contribute to this vibrant exchange of ideas. Submissions may include original research articles, experimental studies, innovative projects, comprehensive surveys and industrial case studies that highlight significant progress in NLP and its emerging frontiers. Through these contributions, AdNLP 2026 aims to foster collaboration, inspire new directions, and advance the state of the art in Natural Language Computing. Topics of interest Foundations of Natural Language Processing Syntax, Parsing and Structured Prediction Morphology, Phonology and Lexical Semantics Semantics, Discourse and Pragmatics Linguistic Resources, Corpora and Benchmark Creation Knowledge Representation, Knowledge Graphs and Neuro Symbolic NLP   Machine Learning for NLP Deep Learning Architectures for NLP Large Language Models (LLMs): Training, Alignment and Evaluation Efficient NLP Models: Compression, Distillation, Quantization, Pruning Transfer Learning, Domain Adaptation and Low Resource NLP Continual, Lifelong and Online Learning for NLP Reinforcement Learning for Language Tasks Hybrid Statistical, Neural and Knowledge Based Methods Data Centric and Synthetic Data NLP Synthetic Data Generation for NLP Data Quality, Filtering and Dataset Governance Automatic Dataset Creation for Low Resource Languages Contamination Det Multimodal and Speech Processing section and Dataset Auditing Generative and Interactive NLP Text Generation, Summarization and Controlled Generation Paraphrasing, Entailment and Natural Language Inference Dialogue Systems, Conversational AI and Chatbots Question Answering, Reasoning and Explainable NLP Narrative Understanding and Story Generation Retrieval Augmented Generation (RAG) and Knowledge Grounded Models Reasoning, Planning and Advanced Capabilities Mathematical and Symbolic Reasoning Logical Inference and Formal Verification Multi Step Reasoning and Chain of Thought Models Planning, Tool Use and Function Calling Models   Long Context, Memory and Architecture Innovations Long Context Transformers and Efficient Attention Memory Augmented Language Models Document Level and Multi Document Reasoning Scalable and Distributed NLP Architectures Multimodal and Speech Processing Vision Language Models (VLMs) Audio Language and Speech Language Models Speech Recognition, Synthesis and Spoken Language Understanding Video Language Understanding and Generation Multimodal Dialogue and Interactive Systems Agentic and Autonomous Language Systems Agentic AI and Autonomous Language Agents Multi Agent Communication and Collaboration Tool Using Models and API Driven Language Systems Embodied AI and Robotics Language Interfaces Responsible, Safe and Trustworthy NLP Bias, Fairness and Ethical NLP Safety, Hallucination Detection and Robustness Privacy Preserving NLP (Federated Learning, Differential Privacy) Security, Adversarial Attacks and Defenses Environmental Impact and Sustainable NLP AI Governance, Policy and Societal Impact   Evaluation, Benchmarking and Reproducibility Evaluation Metrics and Benchmark Design Meta Evaluation and Evaluation Reliability Human AI Comparative Evaluation Reproducibility, Transparency and Open Science Applied and Domain Specific NLP Machine Translation and Cross Lingual NLP Information Extraction, Text Mining and Neural Search Biomedical, Clinical and Healthcare NLP Legal, Financial and Policy Driven NLP Scientific NLP and Research Automation NLP for Software Engineering, Code Understanding and Program Synthesis NLP for Education, Assessment and Learning Technologies NLP for Social Media, Misinformation and Digital Safety NLP for Climate Science, Sustainability and Environmental Modeling Cognitive, Human Centered and Interdisciplinary NLP Cognitive Modeling and Psycholinguistics Brain Language Interfaces (EEG/fMRI + NLP) Human AI Collaboration and Co Creation Human in the Loop Learning and Annotation NLP for HCI and Interactive Systems Paper Submission Authors are invited to submit papers through the conference Submission System by May 02, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).   Selected papers from AdNLP 2026, after further revisions, will be published in the special issues of the following journals. International Journal on Natural Language Computing (IJNLC) International Journal on Information Theory (IJIT) International Journal on Computational Science & Applications (IJCSA) Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Web & Semantic Technology (IJWesT) – IS Indexed Information Technology in Industry (ITII) Important Dates Submission Deadline: May 02, 2026 Authors Notification: May 23, 2026 Registration & Camera-Ready Paper Due: May 30, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it.