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Call For Papers | Download CFP Flyer

Topics including but not limited to:

  • - Fundamentals of data scienec, 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

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