European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2026)

Key Topics

• Aspects of high performance text analysis
• Adversarial and cross language information retrieval
• Automated knowledge aquisition and representation
• Author identification and plagiarism detection
• Data mining
• Collaborative information filtering
• Decentralised knowledge representation
• Data science
• Dialogue systems for the Semantic Web
• Diachronic corpora and temporal reasoning over knowledge basis
• Dynamic graphs and in particular co-occurrence graphs
• Document summerisation and identification
• Graph and deep-learning based methods of Natural Language Processing and Information Retrieval
• Event and anomaly detection
• Information mining and psycholinguistic
• Information and knowledge extraction
• Intelligent Tutoring
• Information Retrieval result evaluation and relevance feedback
• Interactive, dynamic, contextual and personalised Information Retrieval
• Interactive systems
• Knowledge representation
• Knowledge graph learning
• Learning Analytics Knowledge
• Konwledge discovery
• Lexical semantics for the Semantic Web
• Learning from Big Data for web-scale knowledge graphs
• Methods and systems of automatic machine translation
• Methods and analyses for statistical networks
• Methods for Classification and Categorisation
• Methods based on Semantic Webarm Intelligence and other natural inspInformation Retrievaled methods
• Natural Language based representations and knowledge systems using Semantic Web
• Multimodal human-computer communication for the Semantic Web
• Natural language text generation from knowledge graphs and ontologies
• Natural Language Processing for digital humanities
• Ontology generation, merging and verification methods
• Natural language understanding and the Semantic Web
• Ontology population through Natural Language Processing and Information Retrieval methods
• Ontology learning
• Propagation and diffusion of information
• Opinion, personality and emotion detection in social media
• Question and semantic Webering over knowledge graphs
• Query Expansion
• Semantic search and exploratory search
• Resources for basic Natural Language Processing tasks analysis
• Semantic web technologies
• Semantic similarity metrics and analogy
• Similarity analysis, clustering, hierarchic clustering
• Sentiment analysis
• Social and multimedia Information Retrieval
• Small world graphs
• Super popular content
• Social Sciences
• Text analytics for the Internet of Things
• Taxonomy extraction
• Topic recognition and topic tracking, subject indexing
• Text mining
• Visualisation of Natural Language Processing and Information Retrieval results
• Use of knowledge graphs and ontologies for Natural Language Processing