Call for Papers:
People working in intelligent systems in the area of information extraction are members of interdisciplinary teams, including
linguists, logicians, philosophers, language experts, statisticians, computer scientists image processing, audio processing,
cyber security experts, etc. due to the widespread use of digital communication platforms. In general, information extraction
draws upon the involvement of linguists, computer scientists, experts in artificial intelligence, mathematicians, logicians,
cognitive scientists, cognitive psychologists, psycholinguists, anthropologists and neuroscientists, among others. Intelligent
systems approaches for Information extraction must be connected to the cognitive sciences through the development of cognitive
theories and must be connected artificial intelligence through the development of methods and algorithms for all aspects of
information extraction and their computer implementation. We can see information extraction divided into two parts: theoretical
models for its analysis and more practical applications. The theoretical aspect includes standard areas studied in information
extraction, standard or non-standard logical approaches, linguistics methods as semantics, syntax, and morphology or numerical
methods as those used in information retrieval or text-mining.
There are two principles objectives for this track. The first objective is intended to present works ranking from linguistic, logical,
mathematical, and statistical models in syntax and semantics (logic of objects, topological theories of time and space, associations rules,
etc.) as foundations of the design and analysis to information processing systems and especially to information extraction. The second
objective is to target researchers interested in all aspects of the application of intelligent techniques to information extraction.
Papers and contributions are encouraged for any work relating to Information Extraction. Topics of interest may include (but are in no
way limited to):
Important Dates:
Special Track Chairs:
Prof. Ismail Biskri, Université du Québec à Trois-Rivières