Measuring sentence similarity from different aspects

The paper proposes to determine sentence similarities from different aspects. Based on the information people get from a sentence, objects-specified similarity, objects-property similarity, objects-behavior similarity and overall similarity are defined to determine sentence similarities from four as...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 2244 - 2249
Main Authors Lin Li, Xia Hu, Bi-Yun Hu, Jun Wang, Yi-Ming Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Chunking
Computer science
Cybernetics
Data mining
Knowledge representation
Legged locomotion
Machine learning
Semantic vector
Sentence similarity
Speech analysis
Text categorization
Text mining
Time measurement
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Summary:The paper proposes to determine sentence similarities from different aspects. Based on the information people get from a sentence, objects-specified similarity, objects-property similarity, objects-behavior similarity and overall similarity are defined to determine sentence similarities from four aspects. Experiments show that the proposed method makes the sentence similarity comparison more exactly and give out a more reasonable result, which is similar to the people's comprehension to the meanings of the sentences.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212182