Sentence examples for patterns to extract from inspiring English sources
According to Li et al. [9] 'Open IE is a domain-independent extraction paradigm that uses some generalized patterns to extract all the potential relationships between entities'.
This research used defining patterns to extract semantic relations and to develop semantic networks of words and their definitions.
In this study a new optical measurement technique based on secondary laser speckle patterns to extract Young's modulus by changing resonance frequency of specimen was developed.
Machine learning techniques utilize the manually annotated chemical terms in a training set of documents to automatically learn and define patterns to extract terms from text [3].
A footwear designer digitizes shoe patterns to extract their boundaries, once he finishes 3D shoe-model design, last-bottom flattening, and shoe-pattern making.
The built process of PAPEL is based on a set of rules that makes use of certain lexical-syntactic patterns to extract semantic information between the meaning of words that occur in a definition (p) and the defined meaning of the word (v) in the format of triples (p relation v).
Zhao et al. [19] proposed using the tag tree structure and visual perception pattern to extract data from search engine results.
Our sentence-based method followed the idea and developed an additional regular expression pattern to extract section-heading parts from the first line of a recognized section boundary.
However, this would not be the best solution, because each unique complex sentence would require the design of a unique syntactical pattern to extract the information from the sentence, and given the variety in writing styles, the number of such patterns could grow exponentially.
Second, statistical and principal component analysis were performed on the sampled signals to obtain the clear interrelations between the signals and flow patterns and to extract useful features for forming flow pattern clusters for classification in the feature space.
Nosaka et al. [28] utilize an extension of local binary pattern (LBP) descriptor, named co-occurrence of adjacent local binary patterns (CoALBP), to extract textural features.
