RUS  ENG
Full version
JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2012 Volume 6, Issue 1, Pages 49–58 (Mi ia184)

This article is cited in 6 papers

Extraction of implicit information from the texts in natural language: problems and methods

I. P. Kuznetsov, N. V. Somin

Institute for Problems of Informatics of RAS

Abstract: A semantic-oriented linguistic processor, which provides deep analysis of text in natural language and forms knowledge structures, is considered. A significant direction in development of such processors is connected with the extraction from the texts the named entities, their properties, and links, presented in implicit forms. The methods of such extraction at different levels of text analysis (lexical-grammatical, syntactical-semantic and conceptual) are proposed.

Keywords: automatic text analysis; knowledge extraction; linguistic processor; implicit information.



© Steklov Math. Inst. of RAS, 2024