9th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2025)

Topics

• Resources for basic NLP tasks (word segmentation, tagging, stemming, parsing and syntactical analysis, corpus-based language engineering, named entity recognition, syntactic analysis, semantic analysis, discourse analysis, speech recognition, speech synthesis, etc.)
• Fundamentals of data scienec, data & text mining, interactive systems, information mining and psycholinguistic
• Natural language understanding
• Automated knowledge aquisition and representation
• Event and anomaly detection - Sentiment analysis
• Topic recognition and topic tracking, subject indexing
• Author identification and plagiarism detection
• Opinion, personality and emotion detection in social media
• Similarity analysis, clustering, hierarchic clustering
• Document summerisation and identification
• Visualisation of NLP and IR results
• Methods for Classification and Categorisation
• Ontology generation, merging and verification methods
• Ontologies, knowledge representation, semantic web technologies
• Graph- and deep-learning-based methods of NLP and IR
• Diachronic corpora and temporal reasoning over knowledge basis
• Adversarial and cross language information retrieval
• Interactive, dynamic as well as contextual and personalised IR
• Query Expansion
• Methods and systems of automatic machine translation
• Social and multimedia IR
• IR result evaluation and relevance feedback
• Methods based on Swarm Intelligence and other natural inspired methods
• Methods and analyses for statistical networks, small world graphs, dynamic graphs and in particular co-occurrence graphs
• Collaborative information filtering
• Decentralised knowledge representation, search and IR
• Aspects of high performance text analysis
• Self-organisation and –maintenance of information in the WWW
• Propagation and diffusion of information, super popular content