PPT-Rule-based Reasoning in Semantic Text Analysis

Author : kittie-lecroy | Published Date : 2018-02-09

Ivan Rygaev Laboratory of Computational Linguistics Kharkevich Institute for Information Transmission Problems RAS Moscow Russia RuleML RR London July 2017 1 Rulebased

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Rule-based Reasoning in Semantic Text Analysis: Transcript


Ivan Rygaev Laboratory of Computational Linguistics Kharkevich Institute for Information Transmission Problems RAS Moscow Russia RuleML RR London July 2017 1 Rulebased Reasoning in Semantic Text Analysis. Wen Hua, . Zhongyuan. Wang, . Haixun. Wang, Kai Zheng, and . Xiaofang. Zhou. ICDE 2015. 21 April 2015. Hyewon Lim. Introduction. Problem Statement. Methodology. Experiment. Conclusion. Outline. 2. P(. A . &. B. ) . = . P(. A. |. B. ) * P(. B. ). Product Rule:. Bayesian Reasoning. P(. A . &. B. ) . = . P(. A. |. B. ) * P(. B. ). Product Rule:. Shorthand for . . P(A=true & B=true) = P(A=true | B=true) * P(B=true). Rebecca Wulf. Ivy Tech Lafayette. rwulf@ivytech.edu. . Ben Markham. Ivy Tech Bloomington. bmarkham@ivytech.edu. . Sharon Koch. Ivy Tech Gary. s. koch12@ivytech.edu. . Ivy Tech Community College. 30 . Prof. O. . Nierstrasz. Thanks to Jens . Palsberg. and Tony Hosking for their kind permission to reuse and adapt the CS132 and CS502 lecture notes.. http://www.cs.ucla.edu/~palsberg/. http://www.cs.purdue.edu/homes/hosking/. medical dictations. Stefan Petrik . , . Christina . Drexel, . Leo Fessler . , . Jeremy Jancsary . , . Alexandra Klein . ,Gernot . Kubin . , . Johannes Matiasek . , . Franz Pernkopf . , . Harald . Trost. Nikhil . Rasiwasia. , . Nuno. . Vasconcelos. Statistical Visual Computing Laboratory. University of California, San Diego. Thesis Defense. Ill pause for a few moments so that you all can finish reading this. . Review. So far, we’ve covered the following: . . Compilation methods: compilation vs. interpretation.. . The overall . c. ompilation process.. Front-end analysis . Lexical Analysis. Syntax Analysis. Movement led by W3C that promotes common formats for data on the web. Describes things in a way that computer applications can understand it. Describes the relationship between things and properties of things. Other information:. Insert shul logo here. Time:. Date:. Address:. @ShabbatUK. @shabbat_uk. Shabbat_uk_official. www.shabbatuk.org. getinvolved@shabbatuk.org. Insert shul logo here. Event Title. Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event Text Event. Petra Bud. íková, FI MU. CEMI meeting, Plze. ň. , 1. 6. . . 4. . 2014. Formalization. The annotation problem is . defined by a . query image . I. . and a . vocabulary . V. of candidate concepts. William Van Woensel. 26/05/2017. 1. Context. Clinical Practice Guidelines (CPG). Disease-specific, evidence-based recommendations. Standard for decision making on diagnosis, prognosis and treatment. Context-sensitive care recommendations. Text 2. Text 3. Text 4. Text 5. Text 6. Text 7. Text 8. Text 9. Text 10. Text 11. Text 12. Text 13. Text 14. Text 15. Text 16. Text 17. Erbauer: . Max Mustermann (Ort). Bauzeit: xx Wochen. Steine: ca. 10.000. Xiangen . Hu. CCNU & . UoM. Agenda. Introduction. Basic semantic comparison techniques. Examples . of semantic spaces. A general framework. A few . applications. Hands-. on . (. if time permits). C. Binding, K. May. 1. , R. Souza, D. Tudhope, A. Vlachidis. Hypermedia Research Unit, University of Glamorgan. 1. English Heritage. STAR Project - Aims. In. vestigate semantic technologies for integrating and cross searching datasets and associated grey literature.

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