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3rd International Conference on NLP, Artificial Intelligence, Machine Learning andApplications (NLAIM 2026)

NLAIM 2026

Date of beginning

Saturday, 26 September 2026

Duration

2 days

Deadline for abstracts

Saturday, 20 June 2026

City

Toronto

Country

Canada

Contact

nlaim@nlaim2026.org

Expected participants

100

Memo

3rd International Conference on NLP, Artificial Intelligence, Machine Learning andApplications (NLAIM 2026) September 26 ~ 27, 2026, Toronto, Canada https://nlaim2026.org/ Scope 3rd International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2026) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field. Topics of interest include, but are not limited to, the following NLP Chunking/Shallow Parsing Computational Linguistics& NLP Dialog Systems Information Extraction Information Retrieval and AI Information Retrieval Lexical Semantics Linguistic Resources Machine Translation NLP & AI Ontology Paraphrasing/Entailment/Generation Parsing/Grammatical Formalisms Phonology, Morphology POS Tagging Question Answering Semantic & NLP Semantic Processing Speech Recognition and Synthesis Spoken Language Processing Statistical and Knowledge based Methods Text Mining   Artificial Intelligence Adaptive systems AI Algorithms Artificial Intelligence and Cloud Computing Artificial Intelligence Cyber Security Artificial Intelligence Tools & Applications Bioinformatics, Biometrics Business Intelligence Data and Web mining Evolutionary Computation Fuzzy Set Theory, Fuzzy Control and System Geo-informatics Hybrid and Nonlinear system Inductive Learning Information Fusion Information Retrieval Intelligent Agent, Control Intelligent and Knowledge based system Logistics Machine Learning Media computing Neural Network and Support Vector Machine Pattern Recognition Rough and Fuzzy Rough Set Visual Information Processing   Machine Learning & Applications Automated Machine Learning Bayesian Network Computer Vision, Data Mining Deep Learning Learning in Knowledge-intensive Systems Learning Methods, Analysis and Problems Machine Learning Algorithms Neural Networks Predictive Learning Reinforcement Learning Supervised Machine Learning Unsupervised Machine Learning Paper Submission Authors are invited to submit papers through the conference Submission System by June 20, 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 NLAIM 2026, after further revisions, will be published in the special issue of the following journal.   International Journal of Artificial Intelligence & Applications (IJAIA) International Journal of Fuzzy Logic Systems (IJFLS) International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) International Journal of Soft Computing (IJSC) International Journal on Natural Language Computing (IJNLC) International Journal of Web & Semantic Technology(IJWesT) Machine Learning and Applications: An International Journal (MLAIJ) Information Technology in Industry (ITII) Important Dates Submission Deadline: June 20, 2026 Authors Notification: July 31, 2026 Registration & camera – Ready Paper Due: August 08, 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.