The TF-IDF measure and analysis of links between words within N-grams in the formation of knowledge units for open tests


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

A method is proposed for searching in a text corpus for phrases that are the most similar to an original one in a described knowledge fragment (including linguistic forms of expression) based on a numerical evaluation of the coupling strength between the related words from the original phrase that occur in them. In this regard, the links themselves expand from traditional bigrams to three or more elements and are distinguished according to the results of dividing the words of the original phrase into classes according to the value of the TF-IDF measure as an alternative to syntactic dependences.

作者简介

G. Emelyanov

Yaroslav-the-Wise Novgorod State University

编辑信件的主要联系方式.
Email: Gennady.Emelyanov@novsu.ru
俄罗斯联邦, Velikii Novgorod, 173003

D. Mikhailov

Yaroslav-the-Wise Novgorod State University

Email: Gennady.Emelyanov@novsu.ru
俄罗斯联邦, Velikii Novgorod, 173003

A. Kozlov

Yaroslav-the-Wise Novgorod State University

Email: Gennady.Emelyanov@novsu.ru
俄罗斯联邦, Velikii Novgorod, 173003

补充文件

附件文件
动作
1. JATS XML

版权所有 © Pleiades Publishing, Ltd., 2017