7^thInternational Conference on NLP & Information Retrieval (NLPI 2026)

April 25 ~ 26, 2026, Copenhagen, Denmark

Scope & Topics

7^thInternational Conference on NLP & Information Retrieval (NLPI 2026)invites high quality research contributions from academia, industry, and government. NLPI has established itself as a global forum for presenting cutting edge advances in natural language processing, information retrieval, and the rapidly evolving landscape of AI driven language technologies.

Topics of interest include, but are not limited to, the following

Core NLP Tasks & Linguistic Foundations
• Tokenization, POS tagging, chunking, and shallow parsing
• Parsing, grammatical formalisms, and syntactic analysis
• Lexical semantics and semantic role labeling
• Discourse, pragmatics, and dialogue structure
• Phonology, morphology, and linguistic theory
• Linguistic resources, corpora, and annotation methodologies

Large Language Models & Advanced NLP
• Foundation models and large language models (LLMs)
• Prompt engineering, fine tuning, and instruction following
• Hallucination detection and mitigation
• Multilingual, cross lingual, and low resource NLP
• Efficient NLP: compression, distillation, and acceleration

Information Retrieval & Search Technologies
• Classical and neural IR models
• Retrieval augmented generation (RAG)
• Contextual, personalized, and interactive IR
• Evaluation of IR systems and relevance feedback
• Decentralized and federated search
• Social, multimedia, and multimodal IR
• Web scale search, ranking, and indexing

Machine Learning for NLP & IR
• Deep learning architectures for NLP and IR
• Graph neural networks for text and knowledge graphs
• Statistical and knowledge based methods
• Representation learning for text and documents
• Contrastive learning and self supervised methods
• Online, continual, and lifelong learning

Knowledge Representation & Reasoning
• Ontologies, taxonomies, and semantic web
• Knowledge graph construction and completion
• Decentralized knowledge representation
• Reasoning over text, graphs, and multimodal data
• Hybrid neuro symbolic approaches

Generation, Summarization & Language Understanding
• Text generation, paraphrasing, and entailment
• Abstractive and extractive summarization
• Natural language inference (NLI)
• Controlled, safe, and ethical text generation
• Style transfer, simplification, and narrative generation

Dialogue, Conversational AI & Speech
• Dialogue systems and conversational agents
• Task oriented and open domain dialogue
• Spoken language understanding and dialogue management
• Speech recognition, synthesis, and voice conversion
• Multimodal conversational AI

Information Extraction & Text Mining
• Named entity recognition, relation extraction, event extraction
• Topic modeling, tracking, and subject indexing
• Text mining for scientific, legal, and biomedical domains
• Event and anomaly detection
• Trend analysis and large scale text analytics

Sentiment, Social Media & Affective Computing
• Sentiment analysis and opinion mining
• Emotion, personality, and behavioral signal detection
• NLP for social media, misinformation, and online safety
• Computational social science and social network analysis

Multimodal & Cross Domain NLP
• Vision language models (VLMs)
• Audio text, video text, and multimodal fusion
• Multimodal retrieval and generation
• Cross domain and cross modal transfer

Machine Translation & Multilingual Technologies
• Neural machine translation (NMT)
• Low resource and unsupervised MT
• Evaluation of MT quality and bias
• Speech to speech and multimodal translation

Ethics, Safety & Responsible AI
• Bias, fairness, and inclusivity in NLP and IR
• Privacy preserving NLP and federated learning
• Safety, robustness, and adversarial attacks
• Ethical considerations in language technologies
• Transparency, explainability, and model interpretability

Visualization, Interaction & Human Centered NLP
• Visualization of NLP and IR results
• Human AI collaboration and interactive NLP tools
• Explainable interfaces for search and language models
• User centered evaluation of NLP systems



Paper Submission

Authors are invited to submit papers through the conference Submission System by January 18, 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 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 CMCA 2026, after further revisions, will be published in the special issue of the following journals.



• International Journal of Software Engineering & Applications (IJSEA)- ERA Indexed
  
• International Journal of Web & Semantic Technology (IJWesT) - IS Indexed
  
• International Journal of Security, Privacy and Trust Management (IJSPTM)
  
• Computer Science & Engineering: An International Journal (CSEIJ)
  
• Advanced Computing: An International Journal (ACIJ)
  
• Information Technology in Industry (ITII)



Important Dates

Submission Deadline	:	January 18, 2026
Authors Notification	:	March 14, 2026
Final Manuscript Due	:	March 21, 2026

Co - Located Event



• 13^th International Conference on Advanced Computing (ADCO 2026)
  
• 15^th International Conference on Software Engineering and Applications(SEAS 2026)
  
• 18^th International Conference on Networks & Communications (NeCoM 2026)
  
• 12^th International Conference on Computer Science, Information Technology (CSITEC 2026)
  
• 12^th International Conference on Signal Processing (SP 2026)
  
• 7^th International Conference on Big Data, Blockchain and Security (BDBS 2026)
  
• 7^th International Conference on Data Mining & Machine Learning (DMML 2026)
  
• th International Conference on Control, Modelling, Computing and Applications (CMCA 2026)



***** The invited talk proposals can be submitted to nlpi@csitec2026.org