We present a method for measuring the semantic similarity of texts using a corpus-based
measure of semantic word similarity and a normalized and modified version of the Longest …

As an important knowledge visualization tool, concept map has become a research hotspot
in educational data mining. Traditional concept map generation algorithms are difficult to …

With the rapid development of educational informatization, it has enabled education to enter
the era of big data. How to extract effective information from educational big data and realize …

The purpose of this paper is to propose an unsupervised approach for measuring the
similarity of texts that can compete with supervised approaches. Finding the inherent …

The quick retrieval of target information from a massive amount of information has become a
core research area in the field of information retrieval. Semantic information retrieval …

This research has an objective to develop an efficient technique for Thai word segmentation,
especially those nonexistent in dictionaries. The researchers developed a model for Thai …

This paper mainly explores the classification of text digital teaching resources. Considering
the features of the educational field, the weight calculation method of term frequencyinverse …

The study of semantic similarity has long been an essential part of natural language
processing. In informational retrieval, usage of similarity measurement is getting popularity …

In semantic computing, Match is an operator that takes as an input two graph-like structures;
it can be database schemas or XML schemas and generates a map** between the …

We address the question of how Bag-of-Words (BoW) models of text relatedness can be
improved by using important words in the text-pair instead of all the words. To find important …