학술논문
Indicator Patterns as Features for Argument Mining
Document Type
Conference
Source
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Engineering, Computer and Information Sciences (SIBIRCON), 2019 International Multi-Conference on. :0886-0891 Oct, 2019
Subject
Language
Abstract
The paper discusses methods for creating dictionaries of indicators represented by specific speech constructions that signal the presence of an argument in a text written in Russian. The indicators are described using lexical-grammatical patterns. The initial filling of the dictionary is carried out by an expert based on the analysis of a non-annotated collection of popular science articles. The work of the expert is supported by software tools for multi-purpose study of lexical characteristics of text. Significant attention is paid to the replenishment of indicator dictionaries by forming samples with variables and implementing iterative search in collections of popular science and scientific texts, in order to enrich the lexical composition of the constructed patterns.