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

Website https://csitec2026.org/nlpi/index | Edit Freely

Category NLP;Dialog Systems;Machine Translation

Deadline: January 18, 2026 | Date: April 25, 2026-April 26, 2026

Venue/Country: Copenhagen, Denmark, Denmark

Updated: 2026-01-13 19:40:29 (GMT+9)

Call For Papers - CFP

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 We welcome original, unpublished work that advances theory, algorithms, systems, and applications.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 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 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.

International Journal on Natural Language Computing (IJNLC)

International Journal of Web & Semantic Technology (IJWesT)

International Journal of Database Management Systems (IJDMS)

Important Dates

Submission Deadline: January 18, 2026

Authors Notification: March 14, 2026

Registration & camera – Ready Paper Due: March 21, 2026

Contact Us

Here’s where you can reach us : nlpicsitec2026.org (or) nlpiconfeyahoo.com