NLDB 2025

NLDB 2025 invites authors to submit papers for oral presentations on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other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.

Now	Call for papers	1 Oct 2024
Pending	Submission deadline	28 Feb 2025
Pending	Authors notification	18 Apr 2025
Pending	Camera ready	9 May 2025

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

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Info & Downloads

Author Guide

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

Diesign 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.

Conference Tracks

Main

The main track solicits novel and significant research contributions addressing theoretical aspects, algorithms, applications, architectures, resources, and other aspects of NLP, as well as survey and discussion papers. We welcome work describing original and replicable research showing evidence of significant contribution to the NLP community.

Industry

The industry track covers all aspects of innovative commercial or industrial-strength NLP technologies in order to showcase the state of adoption. It welcomes contributions about case studies of success stories, discussion reports of obstacles that stand in the way of adoption of NLP technologies, and experience reports in applying recent research advances to relevant industry problems. We encourage results and ideas from companies small and large.

Call for Papers

Research and industry tracks

Topics of Interest

Include but are not limited to

Conference Tracks

Main

Industry

Publication

Journal Publication