Extraction of Cognitive Operations from Scientific Texts

被引：0
|
作者：
Devyatkin, Dmitry [1 ]
机构：
[1] RAS, Fed Res Ctr Comp Sci & Control, Moscow, Russia
来源：
ARTIFICIAL INTELLIGENCE: (RCAI 2019) | 2019年 / 1093卷
基金：
俄罗斯基础研究基金会;
关键词：
Cognitive operations; Argument mining; Sequence labeling; Random forest; Long-short term memory;
D O I：
10.1007/978-3-030-30763-9_16
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Rhetorical structure theory defines the relations between predicates and larger discourse units, but it does not consider the extralinguistic nature of text-writing at all. However, the text-writing process is totally related to the particular targeted activity. This paper presents a new approach that does not model a text as a result of a researcher's cognitive activity embodied in it, but it models cognitive activity reflected in the scientific text. We also propose and evaluate a framework for detection of text fragments, which is related to cognitive operations in scientific texts. The obtained results confirm the usefulness of the suggested set of cognitive operations for the analysis of scientific texts. Moreover, these results justify the applicability of the proposed framework to cognitive operation extraction from scientific texts in Russian.
引用
收藏
页码：189 / 200
页数：12
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