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International Workshop Models and Methods of Semantics-Oriented Natural Language Processing

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International Workshop Models and Methods of Semantics-Oriented Natural Language Processing
in conjunction with the International Conference on Web Intelligence, Mining and Semantics (WIMS'11),
25 - 27 May 2011, Sogndal, Norway,
Chair: Vladimir A. Fomichov
 Faculty of Business Informatics,
State University – Higher School of Economics, Moscow, Russia


Aims and scope

The aim of the workshop is to explicate, collect, discuss, and generalize the models of informational structures, the models of the correspondences between a fragment of a discourse and its semantic representation with respect to a knowledge base and semantic representation of the preceding part of a discourse, and the methods (algorithms) of processing information expressed by means of natural language (NL) either proved to be effective in any application domain or being broadly applicable or universal as it is shown by the results of the fulfilled theoretical analysis.

Expected topics (their list is not exhaustive):

  • broadly applicable formal tools for constructing the text meaning representations (or semantic representations);
  • unified formal means for representing text meanings and for constructing high-level conceptual descriptions  of visual images;
  • the models of semantic-syntactic components of linguistic databases;
  • the models of the correspondences between a fragment of a discourse and its semantic representation with respect to a knowledge base and semantic representation of the preceding part of a discourse (in particular, the models for finding the meaning of an elliptical phrase);
  • the methods and algorithms of semantic-syntactic analysis of NL-texts;
  • the methods and algorithms of discovering the referents of anaphoric expressions;
  • the models, methods, and algorithms of using an ontology for finding the answers to the questions of the users of full-text databases;
  • the models, methods, and algorithms of using an ontology for knowledge extraction from natural language texts;
  • the methods and algorithms of planning the dialogue with an end user with respect to an ontology and knowledge about the end user;
  • semantics-oriented methods of cross-language information retrieval;
  • the methods and algorithms of transforming the meaning representations into NL-texts;
  • intelligent text summarization;
  • content search and analysis for e-learning;
  • the methods of transforming the collections of OWL-expressions into NL-texts;
  • the methods of transforming the NL-texts into OWL-expressions.
 
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