NLPIR is one of the key academic conferences to present research results and new developments in the area of the Natural Language Processing and Information Retrieval. For its 9th edition, NLPIR 2025 will be held in Kyushu University, Fukuoka, Japan during December 14-16, 2025.
The topics of interests for submission include, but are not limited to:
- Fundamentals of data science, data & text mining, interactive systems, information mining and psycholinguistic
- 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.)
- Automated knowledge aquisition and representation
- Natural language understanding
- Topic recognition and topic tracking, subject indexing
- Event and anomaly detection - Sentiment analysis
- Opinion, personality and emotion detection in social media
- Author identification and plagiarism detection
- Document summerisation and identification
- Similarity analysis, clustering, hierarchic clustering
- Methods for Classification and Categorisation
- Visualisation of NLP and IR results
- Ontologies, knowledge representation, semantic web technologies
- Ontology generation, merging and verification methods
- Diachronic corpora and temporal reasoning over knowledge basis
- Graph- and deep-learning-based methods of NLP and IR
- Interactive, dynamic as well as contextual and personalised IR
- Adversarial and cross language information retrieval
- Methods and systems of automatic machine translation
- Query Expansion
- IR result evaluation and relevance feedback
- Social and multimedia IR
- Methods and analyses for statistical networks, small world graphs, dynamic graphs and in particular co-occurrence graphs
- Methods based on Swarm Intelligence and other natural inspired methods
- Decentralised knowledge representation, search and IR
- Collaborative information filtering
- Self-organisation and –maintenance of information in the WWW
- Aspects of high performance text analysis
- Propagation and diffusion of information, super popular content