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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2016 Issue 4, Pages 47–61 (Mi iipr303)

This article is cited in 2 papers

Natural language processing

Semantic-syntactic analysis for question answering and definition extraction

A. O. Shelmanov, M. A. Kamenskaya, M. I. Ananyeva, I. V. Smirnov

Institute for Systems Analysis of Russian Academy of Sciences

Abstract: We research the contribution of semantic-syntactic analysis to the effectiveness of solving applied text processing tasks: question-answering and definition extraction from scientific publications. The paper presents methods for solving these tasks that in addition to morphological and syntactic structure use also semantic structure of texts. We conducted the experimental evaluation of these methods and experimental comparison of two approaches to syntactic and semantic analysis: separate parsing and join semantic-syntactic parsing.

Keywords: semantic parsing, joint semantic-syntactic parsing, question-answering, information extraction, definition extraction.


 English version:
, 2017, 44:6, 412–423

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