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.
PDF at the Institute for Systems Analysis of Russian Academy of Sciences website (in Russian): http://www.isa.ru/aidt/images/documents/2016-04/47_61.pdf
Artificial Intelligence and Decision Making magazine: http://aidt.ru/index.php?option=com_content&view=article&id=738&lang=en
Shelmanov A. O., Kamenskaya M. A., Ananeva M. I., Smirnov I. V. Semantic-syntactic analysis for question answering and definition extraction // Artificial intelligence and decision-making IZA OF RAS. - 2016. - NO. 4. - P. 47-61