The 30th International Conference on Natural Language & Information Systems (NLDB 2025)
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Conference Website
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https://www.jaist.ac.jp/event/nldb2025


Dates and Venue
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4-6 July 2025
Kanazawa Chamber of Commerce and Industry
9-13 Oyamamachi, Kanazawa, Ishikawa 920-0918, Japan


Introduction
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The 30th International Conference on Natural Language & Information Systems (NLDB 2025) will be held in the City of Kanazawa, Japan from July 4-6, 2025. More details on the conference program, registration, and accommodation will be announced in due time.

Since 1995, the NLDB conference has brought together researchers, industry practitioners, and potential users interested in applying Natural Language Processing (NLP) to Database and Information Systems. Topics cover a wide range of NLP applications in Information and Communication Systems, including Big Data, Linked Data and Social Networks.

In recent years, NLP has seen exciting advances like Large Language Models, transparency and bias in AI, multimodal models combining NLP and Computer Vision, and conversational AI. These innovations are now powering real-world enterprise applications like recommender systems, sentiment analysis, chatbots, and more.
Thanks to open-source communities, pre-trained language models can now be easily fine-tuned on custom datasets. Businesses are rapidly adopting these latest NLP technologies to solve industry problems.

The 30th NLDB conference provides a forum to share the latest research and industrial applications of NLP across information systems. We welcome novel, unpublished works on all NLP topics and their applications.


Call for Papers
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NLDB 2024 invites authors to submit papers for oral presentations on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as survey and discussion papers. This year’s edition of NLDB continues with the Industry Track, to foster fruitful interaction between the industry and the research community.

Topics of interest include but are not limited to:
- Large Language Models: training, applications, transfer learning, interpretability of large language models.
- Multimodal Models: Integration of text with other modalities like images, video, and audio; multimodal representation learning; applications of multimodal models.
- AI Safety and ethics: Safe and ethical use of Generative AI and NLP; avoiding and mitigating biases in NLP models and systems; explainability and transparency in AI.
- Natural Language Interfaces and Interaction: design and implementation of Natural Language Interfaces, user studies with human participants on Conversational User Interfaces, chatbots and LLM-based chatbots and their interaction with users.
- Social Media and Web Analytics: Opinion mining/sentiment analysis, irony/sarcasm detection; detection of fake reviews and deceptive language; detection of harmful information: fake news and hate speech; sexism and misogyny; detection of mental health disorders; identification of stereotypes and social biases; robust NLP methods for sparse, ill-formed texts; recommendation systems.
- Deep Learning and eXplainable Artificial Intelligence (XAI): Deep learning architectures, word embeddings, transparency, interpretability, fairness, debiasing, ethics.
- Argumentation Mining and Applications: Automatic detection of argumentation components and relationships; creation of resource (e.g. annotated corpora, treebanks and parsers); Integration of NLP techniques with formal, abstract argumentation structures; Argumentation Mining from legal texts and scientific articles.
- Question Answering (QA): Natural language interfaces to databases, QA using web data, multi-lingual QA, non-factoid QA(how/why/opinion questions, lists), geographical QA, QA corpora and training sets, QA over linked data (QALD).
- Corpus Analysis: multi-lingual, multi-cultural and multi-modal corpora; machine translation, text analysis, text classification and clustering; language identification; plagiarism detection; information extraction: named entity, extraction of events, terms and semantic relationships.
- Semantic Web, Open Linked Data, and Ontologies: Ontology learning and alignment, ontology population, ontology evaluation, querying ontologies and linked data, semantic tagging and classification, ontology-driven NLP, ontology-driven systems integration.
- Natural Language in Conceptual Modelling: Analysis of natural language descriptions, NLP in requirement engineering, terminological ontologies, consistency checking, metadata creation and harvesting.
- Natural Language and Ubiquitous Computing: Pervasive computing, embedded, robotic and mobile applications; conversational agents; NLP techniques for Internet of Things (IoT); NLP techniques for ambient intelligence
- Big Data and Business Intelligence: Identity detection, semantic data cleaning, summarisation, reporting, and data to text.


Important Dates*
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1 Oct 2024: Call for papers
28 Feb 2025: Submission deadline
18 Apr 2025: Authors notification
9 May 2025: Camera ready
4-6 July 2025: Conference

*All deadlines are 11:59PM UTC-12:00 AoE


Submission Guidelines:
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Authors should follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and submit their manuscripts in PDF via Easychair (https://easychair.org/conferences/?conf=nldb2025)

Papers can be submitted to either the main conference or the industry track.

Submissions can be full papers (up to 15 pages including references and appendices), short papers (up to 11 pages including references and appendices) or papers for a poster presentation or system demonstration (6 pages including references). The program committee may decide to accept some full papers as short papers or poster papers.

The conference proceedings will be publisehd in Lecture Notes in Computer Science (LNCS, Springer). Best papers will be invited to publish in the special issue of Data & Knowledge Engineering (DKE, Elsevier).


Contact
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All questions about submissions should be emailed to: nldb2025@easychair.org