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On the basis of existing methods on Chinese sentence similarity computing and analyzing the characteristics of engineering decision problems expressed in natural language form, an approach with part of speech (POS) for similar engineering decision problem identification is proposed combining the methods based on improved edit-distance and skeletal dependency tree.
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What we aim to achieve in this article is to create a model which makes the overall predictions of existing methods more realistic and protein like without loss of performance as measured on a per-residue basis.
There are also many papers reporting new methods, or novel applications of existing methods.
A survey of existing methods is given.
This requirement rules out the majority of existing methods.
This method overcomes several limitations of existing methods.
Our method includes the desirable properties of existing methods.
A summary of existing methods appears in Table 1.
Joint time-frequency (TF) analysis is the basis of most of the existing methods used to extract m-D features [1 3].
This study was performed to evaluate tape durability testing and evaluation methods, which hence form a basis for further improvements of the existing methods.
Therefore, MNet alleviates the drawback of the existing methods.
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