Nowadays, advances in computer engineering made it possible that humans may interact with the machines in their natural language either in the written or the spoken manner. At the same time, the amount of (textual) data available in big data bases as well as the world wide web is growing in a rapid manner. Both developments setup new challenges for the development of innovative algorithms to recognise speech, to categorise and classify not only textual information in short times as well as to extract knowledge and wisdom from a huge pile of raw, unevaluated data.
At the situation, 2023 7th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2023) will bring together researchers, which devoted their work to progress in the above described timely tasks. It will be held in Seoul, South Korea on December 15-17, 2023.
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 7th edition, NLPIR 2023 will be held in Seoul, South Korea during December 15-17, 2023.
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
