7th International Conference on NLP & Information Retrieval (NLPI 2026)

Name: 7th International Conference on NLP & Information Retrieval (NLPI 2026)
Start: 2026-04-25T09:00:00+02:00
End: 2026-04-26T18:00:00+02:00
Location: Copenhagen, Denmark

Schedule

Sat, 25 Apr, 2026 at 09:00 am to Sun, 26 Apr, 2026 at 06:00 pm

UTC+02:00

Location

Copenhagen, Denmark | Copenhagen , SK

April 25 ~ 26, 2026, Copenhagen, Denmark

https://csitec2026.org/nlpi/index

Scope

As NLP and IR continue to transform communication, knowledge access, and intelligent systems, NLPI 2026 aims to bring together researchers, practitioners, and innovators to exchange ideas, explore emerging challenges, and shape the future of language centric AI. We welcome original, unpublished work that advances theory, algorithms, systems, and applications. All submissions will undergo rigorous peer review, and accepted papers will be included in the conference proceedings.

NLPI 2026 covers a broad range of topics in NLP, IR, and AI driven language technologies. We especially encourage submissions that address modern challenges such as large language models, retrieval augmented generation, multimodal systems, and responsible AI.

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 March 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 issue of the following journal.