Sentence examples for extraction that uses from inspiring English sources

In announcing the guidelines, Lisa P. Jackson, the agency's administrator, cited evolving science on the effects of mountaintop removal mining, an aggressive form of coal extraction that uses explosives and vast machinery to tear off hilltops to expose coal seams, dumping the resulting rubble into streams and valleys below.

It should be noted that in contrast with Traditional Relation Extraction that uses specific types of relations as synonymy, antonymy, hyponymy and lexical inheritance, meronymy, entailment, and presupposition, Open IE considers that all connections among concepts, entities, events, and also those expressed by means of attributes can be considered as relations.

Optimal yields were obtained in extractions that used 1 2 thalli, each of ~0.5 cm in diameter, that had been grown under wet conditions.

Soxhlet device is a conventional liquid-solid extraction technique that uses high solvent volumes and extraction times in the range 6 24 h; it has been extensively used in CPs applications (Parera et al. 2004; Basconcillo et al. 2015).

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 qPCR assay was further used to evaluate the efficiency of a newly developed DNA extraction kit that uses non-hazardous chemical and physical lysis for rapid and high-yield extraction of Map DNA from faeces.

More concretely, we present a gait feature extraction system that uses just depth information.

The main contribution of this study is a new fast feature extraction strategy that uses the 3D point cloud obtained from the frames in a gait cycle.

Fernandes et al. [38] presents the first Quotation Extraction system that uses a machine learning approach for Portuguese (Entropy Guided Transformation Learning supervised algorithm).

WR is a new feature extraction technique that uses unsupervised learning algorithms to generate word-level features from an unlabeled corpus.

First, we introduce a novel feature point extraction method that uses estimation of the curvature and the support region for every contour in the floating image.