7th International Conference on NLP & Information Retrieval (NLPI 2026) April 25 ~ 26, 2026, Copenhagen, Denmark Hybrid -- Registered authors can present their work online or face to face. Scope & Topics 7th International Conference on NLP & Information Retrieval (NLPI 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Information Retrieval.
Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
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 February 28, 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 NLPI 2026, after further revisions, will be published in the special issues of the following journals. Important Dates | Submission Deadline | : | February 28, 2026 | | Authors Notification | : | March 14, 2026 | | Final Manuscript Due | : | March 21, 2026 |
Co - Located Event
***** The invited talk proposals can be submitted to nlpi@csitec2026.org
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