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ISAIE 2018 - 2018 Intelligent Systems Approaches in Information Extraction

Date2018-06-25 - 2018-06-28

Deadline2018-01-30

VenueMontreal, Canada Canada

Keywords

Websitehttp://ieaaie2018.encs.concordia.ca/track3.html

Topics/Call fo 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):
Philosophy of language − new developments
Lexicology; morphology; syntax; semantics; cognitive semantics
Logics of language and language modeling
Information extraction
Domain ontologies, linguistic ontologies, knowledge processing
Text-mining, translation
Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).

Last modified: 2017-12-14 15:29:37