Call for papers:
Topic 1: Core NLP & Data Science
1. Foundations of Language Processing
Data/text mining, corpus linguistics, and psycholinguistic modeling
Basic NLP pipelines: tokenization, POS tagging, lemmatization, dependency parsing, and semantic role labeling
Low-resource language engineering and cross-lingual adaptation
2. Linguistic Analysis & Understanding
Syntax, semantics, discourse analysis, and pragmatics
Multimodal speech recognition/synthesis (ASR/TTS) and conversational AI
Diachronic corpora, temporal reasoning, and evolving language models
3. Knowledge Systems & Semantics
Automated knowledge acquisition, ontology generation/alignment, and semantic web technologies
Neuro-symbolic integration: combining logic-based reasoning with neural networks
4. Content Analysis & IR
Topic modeling, event/anomaly detection, and sentiment/emotion analysis
Document summarization, plagiarism detection, and authorship attribution
Dynamic/personalized IR, adversarial retrieval, and cross-language systems
5. Social & Multimedia Analysis
Personality/emotion detection in social media, misinformation tracking
Multimodal IR (text, image, video) and virality prediction
Topic 2: AI-Driven Methods & Innovations
1. Large Language Models (LLMs) & Transformers
Architectures (BERT, GPT, T5, LLaMA) for NLU, generation, and few-shot learning
Domain-specific LLMs (e.g., BioGPT, Codex) and tools like ChatGPT, DeepSeek, Claude
Ethical challenges: bias mitigation, hallucination control, and AI-generated content detection
2. Generative AI & Automation
Abstractive summarization, synthetic data generation, and conversational agents
Multimodal LLMs (e.g., GPT-4V) for vision-language tasks
3. Graph & Deep Learning
GNNs for co-occurrence graphs, knowledge graph completion, and dynamic networks
Swarm intelligence hybridized with transformer architectures
4. Efficiency & Scalability
Model compression (pruning, quantization), federated learning, and edge NLP
Distributed training frameworks for trillion-parameter models
Topic 3: Cross-Cutting Themes
1. Human-Centric NLP
Interactive AI: chatbots, dynamic query resolution, and personalized recommendation systems
Explainability (XAI) and visualization of attention mechanisms
2. Machine Translation & Multilinguality
Zero-shot translation, LLM-driven low-resource adaptation, and post-editing workflows
3. Decentralized & Collaborative Systems
Blockchain for decentralized knowledge graphs, federated search, and privacy-preserving NLP
4. Ethics & Governance
AI safety, fairness audits, and regulatory compliance (e.g., EU AI Act)
Combatting misinformation and deepfakes in social/content platforms
Topic 4: Emerging Frontiers
AI for Science: LLMs in biomedical NLP, climate text analysis, and legal document processing
Embodied AI: Language models integrated with robotics and real-world interaction
Self-Supervised Learning: Pre-training paradigms beyond transformers
Publication:
All peer-reviewed and presented papers from NLPIR 2026 will be published as post-proceedings in a volume of the Springer book series: Lecture Notes in Networks and Systems, indexed by Ei Compendex, Scopus, etc.
NLPIR 2018-2025 Conference Proceedings has been published online, and indexed by Ei Compendex and Scopus already.
NLPIR 2025 Springer: Lecture Notes in Networks and Systems (LNNS, volume 1904)
NLPIR 2024 ACM Digital Library (ISBN: 979-8-4007-1738-3)
NLPIR 2023 ACM Digital Library (ISBN: 979-8-4007-0922-7)
NLPIR 2022 ACM Digital Library (ISBN: 978-1-4503-9762-9)
NLPIR 2021 ACM Digital Library (ISBN: 978-1-4503-8735-4)
NLPIR 2020 ACM Digital Library (ISBN: 978-1-4503-7760-7)
NLPIR 2019 ACM Digital Library (ISBN: 978-1-4503-6279-5)
NLPIR 2018 ACM Digital Library (ISBN: 978-1-4503-6551-2)
Submission:
1. Submitted papers should be prepared according to the paper template and the length should be at least 10 pages (Single column)
2. The submitted paper is requested to be written in complete English.
Paper Template for Docx: https://nlpir.net/splnproc1703.docm
Paper Template for LaTex: https://nlpir.net/Latex-template.zip
Electronic Submission System Link: https://www.zmeeting.org/submission/NLPIR2026
You will receive the submission confirmation email from the conference email after around 2 working days. If you haven't received it, please contact us as soon as possible. (Email: nlpir@asr.org)
More details about submission, please visit at https://nlpir.net/sub.html
Conference Venue:
Nara Women's University
Address: 〒630-8506, 奈良市北魚屋東町( Kita-uoya-higashi-machi, Nara City 630-8506)
Contact us:
Ms. Sophie Chen (Conference Secretary)
Email: nlpir@asr.org
Conference Website: http://www.nlpir.net/
Topic 1: Core NLP & Data Science
1. Foundations of Language Processing
Data/text mining, corpus linguistics, and psycholinguistic modeling
Basic NLP pipelines: tokenization, POS tagging, lemmatization, dependency parsing, and semantic role labeling
Low-resource language engineering and cross-lingual adaptation
2. Linguistic Analysis & Understanding
Syntax, semantics, discourse analysis, and pragmatics
Multimodal speech recognition/synthesis (ASR/TTS) and conversational AI
Diachronic corpora, temporal reasoning, and evolving language models
3. Knowledge Systems & Semantics
Automated knowledge acquisition, ontology generation/alignment, and semantic web technologies
Neuro-symbolic integration: combining logic-based reasoning with neural networks
4. Content Analysis & IR
Topic modeling, event/anomaly detection, and sentiment/emotion analysis
Document summarization, plagiarism detection, and authorship attribution
Dynamic/personalized IR, adversarial retrieval, and cross-language systems
5. Social & Multimedia Analysis
Personality/emotion detection in social media, misinformation tracking
Multimodal IR (text, image, video) and virality prediction
Topic 2: AI-Driven Methods & Innovations
1. Large Language Models (LLMs) & Transformers
Architectures (BERT, GPT, T5, LLaMA) for NLU, generation, and few-shot learning
Domain-specific LLMs (e.g., BioGPT, Codex) and tools like ChatGPT, DeepSeek, Claude
Ethical challenges: bias mitigation, hallucination control, and AI-generated content detection
2. Generative AI & Automation
Abstractive summarization, synthetic data generation, and conversational agents
Multimodal LLMs (e.g., GPT-4V) for vision-language tasks
3. Graph & Deep Learning
GNNs for co-occurrence graphs, knowledge graph completion, and dynamic networks
Swarm intelligence hybridized with transformer architectures
4. Efficiency & Scalability
Model compression (pruning, quantization), federated learning, and edge NLP
Distributed training frameworks for trillion-parameter models
Topic 3: Cross-Cutting Themes
1. Human-Centric NLP
Interactive AI: chatbots, dynamic query resolution, and personalized recommendation systems
Explainability (XAI) and visualization of attention mechanisms
2. Machine Translation & Multilinguality
Zero-shot translation, LLM-driven low-resource adaptation, and post-editing workflows
3. Decentralized & Collaborative Systems
Blockchain for decentralized knowledge graphs, federated search, and privacy-preserving NLP
4. Ethics & Governance
AI safety, fairness audits, and regulatory compliance (e.g., EU AI Act)
Combatting misinformation and deepfakes in social/content platforms
Topic 4: Emerging Frontiers
AI for Science: LLMs in biomedical NLP, climate text analysis, and legal document processing
Embodied AI: Language models integrated with robotics and real-world interaction
Self-Supervised Learning: Pre-training paradigms beyond transformers
Publication:
All peer-reviewed and presented papers from NLPIR 2026 will be published as post-proceedings in a volume of the Springer book series: Lecture Notes in Networks and Systems, indexed by Ei Compendex, Scopus, etc.
NLPIR 2018-2025 Conference Proceedings has been published online, and indexed by Ei Compendex and Scopus already.
NLPIR 2025 Springer: Lecture Notes in Networks and Systems (LNNS, volume 1904)
NLPIR 2024 ACM Digital Library (ISBN: 979-8-4007-1738-3)
NLPIR 2023 ACM Digital Library (ISBN: 979-8-4007-0922-7)
NLPIR 2022 ACM Digital Library (ISBN: 978-1-4503-9762-9)
NLPIR 2021 ACM Digital Library (ISBN: 978-1-4503-8735-4)
NLPIR 2020 ACM Digital Library (ISBN: 978-1-4503-7760-7)
NLPIR 2019 ACM Digital Library (ISBN: 978-1-4503-6279-5)
NLPIR 2018 ACM Digital Library (ISBN: 978-1-4503-6551-2)
Submission:
1. Submitted papers should be prepared according to the paper template and the length should be at least 10 pages (Single column)
2. The submitted paper is requested to be written in complete English.
Paper Template for Docx: https://nlpir.net/splnproc1703.docm
Paper Template for LaTex: https://nlpir.net/Latex-template.zip
Electronic Submission System Link: https://www.zmeeting.org/submission/NLPIR2026
You will receive the submission confirmation email from the conference email after around 2 working days. If you haven't received it, please contact us as soon as possible. (Email: nlpir@asr.org)
More details about submission, please visit at https://nlpir.net/sub.html
Conference Venue:
Nara Women's University
Address: 〒630-8506, 奈良市北魚屋東町( Kita-uoya-higashi-machi, Nara City 630-8506)
Contact us:
Ms. Sophie Chen (Conference Secretary)
Email: nlpir@asr.org
Conference Website: http://www.nlpir.net/
