Semantic Paraphrasing for Information Retrieval and Extraction

  • Authors:

  • Juri D. Apresjan;Igor M. Boguslavsky;Leonid L. Iomdin;Leonid L. Cinman;Svetlana P. Timoshenko

  • Affiliations:

  • Institute for Information Transmission Problems (Kharkevich Institute), RAS, Moscow, Russia 127994;Institute for Information Transmission Problems (Kharkevich Institute), RAS, Moscow, Russia 127994 and Universidad Politécnica de Madrid, Madrid, Spain 28660;Institute for Information Transmission Problems (Kharkevich Institute), RAS, Moscow, Russia 127994;Institute for Information Transmission Problems (Kharkevich Institute), RAS, Moscow, Russia 127994;Institute for Information Transmission Problems (Kharkevich Institute), RAS, Moscow, Russia 127994

  • Venue:
  • FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
  • Year:
  • 2009

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Abstract

The paper is devoted to the development of a system of synonymous and quasi-synonymous paraphrasing and its practical applications, first of all in the domain of search engine optimization and information extraction. This system is part of the ETAP-3 multifunctional NLP environment created by the Laboratory of Computational Linguistics of the Kharkevich Institute for Information Transmission Problems. Combinatorial dictionaries of Russian, English and some other languages and a rule-driven parser constitute the core of ETAP-3 while a variety of generating modules are used in a number of applications. The paraphrase generator, based on the apparatus of lexical functions, is one such module. We describe the general layout of the paraphrase generator and discuss an experiment that demonstrates its potential as a tool for search optimization.