The Researching on Similarity Calculation Based on HNC

2008 ◽  
Author(s):  
Cheng Xian-yi ◽  
Sun Ping ◽  
Zhu Qian ◽  
Cheng Xian-yi
Keyword(s):  
Similarity Calculation

Similarity detection of English text and teaching evaluation based on improved TCUSS clustering algorithm

2020 ◽  
pp. 1-11
Author(s):  
Yu Wang
Keyword(s):  
Language Processing ◽  
Calculation Method ◽  
Clustering Algorithm ◽  
Research Result ◽  
Structural Features ◽  
English Text ◽  
Support Vector ◽  
Similarity Calculation ◽  
Other Information ◽  
Calculation Task

The semantic similarity calculation task of English text has important influence on other fields of natural language processing and has high research value and application prospect. At present, research on the similarity calculation of short texts has achieved good results, but the research result on long text sets is still poor. This paper proposes a similarity calculation method that combines planar features with structured features and uses support vector regression models. Moreover, this paper uses PST and PDT to represent the syntax, semantics and other information of the text. In addition, through the two structural features suitable for text similarity calculation, this paper proposes a similarity calculation method combining structural features with Tree-LSTM model. Experiments show that this method provides a new idea for interest network extraction.

Study on Echo Fidelity of Radar Simulator

2014 ◽  
Vol 687-691 ◽  
pp. 1117-1120
Author(s):  
Yin Hui Xu ◽  
Fu Zhi Wang ◽  
Yi Long Liu ◽  
Da Zhi Zeng
Keyword(s):  
Numerical Calculation ◽  
Evaluation System ◽  
Calculation Methods ◽  
Simulation Fidelity ◽  
Research Status ◽  
Similarity Calculation ◽  
Radar Echo ◽  
Echo Simulation ◽  
Radar Simulator ◽  
The Evaluation System

Echo fidelity is an important characteristic of radar simulator and it influences accuracy and reliability of radar test directly. This paper introduces the research status of simulator fidelity and sort out the definition and property of radar echo simulation fidelity. Then we propose the numerical calculation methods for individual indicators, including similarity calculation, dissimilarity computing and interval changes three parts. Finally, on the basis of the evaluation system, we propose two calculation methods for entirety fidelity, they are weighted numerical calculation and umbrella figure methods.

The Research and Application in Intelligent Document Retrieval Based on Text Quantification and Subject Mapping

2012 ◽  
Vol 605-607 ◽  
pp. 2561-2568
Author(s):  
Qin Wang ◽  
Shou Ning Qu ◽  
Tao Du ◽  
Ming Jing Zhang
Keyword(s):  
Association Rule ◽  
Document Retrieval ◽  
Retrieval Method ◽  
Feature Extraction Method ◽  
Quantification Method ◽  
Academic Exchange ◽  
Similarity Calculation ◽  
Five Elements ◽  
Mapping Scheme ◽  
Text Element

Nowadays, document retrieval was an important way of academic exchange and achieving new knowledge. Choosing corresponding category of database and matching the input key words was the traditional document retrieval method. Using the method, a mass of documents would be got and it was hard for users to find the most relevant document. The paper put forward text quantification method. That was mining the features of each element in some document, which including word concept, weight value for position function, improved weights characteristic value, text distribution function weights value and text element length. Then the word’ contributions to this document would be got from the combination of five elements characteristics. Every document in database was stored digitally by the contribution of elements. And a subject mapping scheme was designed in the paper, which the similarity calculation method based on contribution and association rule was firstly designed, according to the method, the documents in the database would be conducted text clustering, and then feature extraction method was used to find class subject. When searching some document, the description which users input would be quantified and mapped to some class automatically by subject mapping, then the document sequences would be retrieved by computing the similarity between the description and the other documents’ features in the class. Experiment shows that the scheme has many merits such as intelligence, accuracy as well as improving retrieval speed.

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