NIAI 2026 - 7th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2026)

Website https://ccseit2026.org/niai/index | Edit Freely

Category NLP;Semantic Processing;Text Mining

Deadline: January 17, 2026 | Date: March 14, 2026-March 15, 2026

Venue/Country: Vienna, Austria, Austria

Updated: 2026-01-12 16:22:31 (GMT+9)

Call For Papers - CFP

March 14~ 15, 2026, Vienna, Austria

https://ccseit2026.org/niai/index

Scope

7th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2026) serves as a premier global forum for researchers, practitioners, and industry leaders to present cutting edge innovations at the intersection of NLP, IR, AI, Machine Learning, and Data Driven Technologies.

As AI systems rapidly evolve—from large language models and multimodal architectures to real world intelligent applications—the need for a unified platform that brings together diverse research communities has never been greater. NIAI 2026 aims to bridge these domains, fostering collaboration, advancing scientific understanding, and accelerating the development of responsible, impactful AI technologies.

The conference welcomes contributions that push theoretical boundaries, introduce novel methodologies, or demonstrate transformative applications across languages, modalities, and industries. With a strong emphasis on rigor, reproducibility, and societal relevance, NIAI aspires to stand alongside the world’s leading conferences in shaping the future of intelligent systems.

Topics of interest

Artificial Intelligence & Machine Learning

• Foundations of Artificial Intelligence

• Deep Learning Architectures and Optimization

• Machine Learning for NLP and IR

• Reinforcement Learning and Sequential Decision Making

• Explainable, Responsible, and Trustworthy AI

• Federated, Distributed, and Privacy Preserving Learning

• Large Language Models (LLMs) and Foundation Models

• Retrieval Augmented Generation (RAG) and Memory Augmented Models

Natural Language Processing

• Syntax, Semantics, Pragmatics, and Discourse

• Text Classification, Summarization, and Generation

• Sentiment, Emotion, and Opinion Analysis

• Dialogue Systems, Conversational AI, and Chatbots

• Low Resource, Zero Shot, and Few Shot NLP

• NLP for Social Media and Short Form Content

• Evaluation Metrics, Benchmarking, and Reproducibility in NLP

Machine Translation & Multilingual Technologies

• Neural, Statistical, and Hybrid Machine Translation

• Cross lingual and Multilingual Representation Learning

• Code Switching and Multilingual Speech/Text Processing

• Language Preservation and NLP for Endangered Languages

Information Retrieval & Search Technologies

• Web Search, Ranking Models, and Relevance Estimation

• Neural IR and Deep Retrieval Models

• Query Understanding, Intent Modeling, and Personalization

• Recommender Systems and User Modeling

• Evaluation Frameworks and Reproducibility in IR

Big Data, Data Mining & Knowledge Technologies

• Big Data Analytics and Scalable AI Systems

• Knowledge Graphs, Ontologies, and Semantic Web

• Pattern Mining, Clustering, and Predictive Analytics

• Data Quality, Bias, Fairness, and Ethical Data Practices

Multimodal AI & Integrated Systems

• Vision Language Models (VLMs)

• Speech Text Vision Integration

• Image/Video Captioning and Multimodal Reasoning

• Embodied AI and Robotics Language Interfaces

Social Media, Networks & Computational Social Science

• Social Network Analysis and Graph based Learning

• Misinformation, Toxicity, and Online Safety

• Behavioral Modeling and Social Dynamics

• Computational Social Science and Digital Humanities

Speech & Spoken Language Processing

• Automatic Speech Recognition (ASR)

• Speech Synthesis and Voice Generation

• Spoken Dialogue Systems

• Prosody, Speaker Identification, and Emotion in Speech

Mobile, Edge & Ubiquitous AI

• AI for Mobile and Wireless Applications

• Edge Computing and On Device Intelligence

• IoT Driven Intelligent Systems

• Resource Efficient and Low Power AI Models

Cognitive Modeling& Human AI Interaction

• Human Centered NLP and IR

• Cognitive and Psycholinguistic Modeling

• Explainability, Interpretability, and User Trust

• Interactive and Adaptive AI Systems

AI Ethics, Safety & Societal Impact

• Fairness, Accountability, and Transparency

• Bias Detection and Mitigation

• AI Governance, Regulation, and Policy

• Societal, Cultural, and Economic Implications of AI

Applied AI & Interdisciplinary Applications

• AI for Healthcare, Education, Finance, and Law

• Biomedical NLP and Clinical Text Mining

• AI for Climate, Sustainability, and Environmental Modeling

• Industrial Applications and Production Scale AI Systems

Emerging Trends & Future Directions

• Hybrid NeuralSymbolic Systems

• Continual, Lifelong, and Meta Learning

• Autonomous Agents and Multi Agent Systems

• Novel Benchmarks, Datasets, and Evaluation Paradigms

Paper Submission

Authors are invited to submit papers through the conference Submission System by January 10, 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 in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from NIAI 2026, after further revisions, will be published in the special issue of the following journals

• Machine Learning and Applications: An International Journal (MLAIJ)

• International Journal of Web & Semantic Technology (IJWesT) - IS Indexed

• International Journal on Natural Language Computing (IJNLC)

• International Journal of Artificial Intelligence & Applications (IJAIA)

Important Dates

• Submission Deadline : January 17, 2026

• Authors Notification : February 21, 2026

• Registration & Camera-Ready Paper Due : 28 31, 2026

Contact Us

Here's where you can reach us : niaiccseit2026.org or niaiconfyahoo.com

Paper Submission URL

https://ccseit2026.org/submission/index.php