Sentence examples for parsing structure from inspiring English sources

The specific modules contain functionality for virtual library generation corresponding to the specific lipid categories; the generic modules implement the core functionality such as chain abbreviation parsing, structure generation by attaching chains to the template, etc.

Parsing structures, building and diagonalizing the covariance matrix to determine the principal modes of structural variations takes only 38 s on Intel CPU at 3.20 GHz. Figure 1C illustrate the first principal mode of structural variation (PC1; violet arrows) based exclusively on experimental structural dataset for p38.

Data classification: Parsing structured and unstructured data, looking for data that matches predefined patterns or custom policies.

In another approach, Majumder and Saha used topic modeling and parse structure similarity to identify informative sentences.

People in order to parse, structure, and organize pieces of information use cognitive mechanisms such as attentional selection and information abstraction, which are grounded in conscious or non-conscious activities.

The two subgraphs are a parse structure subgraph (PSS) and a linear order subgraph (LOS), as shown in Figure 3. PSS represents the parse structure of a sentence and includes word or link vertices.

To do that, a graph representation and matching technique for parse structures for paragraphs of text have been developed.

In order to parse structured PFT text data in the SQL Server Integration Services extract transform and load platform, we created a custom component called Regextractor.

Cohen, Murphy, Qian et al. have explored several different aspects of biological text caption analysis [15], including algorithms for parsing the structure of image captions, and techniques for extracting information relating to subcellular localization by automatically analyzing fluorescence microscope images of cells [16], [17].

Differences among parsers are relatively smaller than the differences from the baseline, proving that dependency parsing, phrase structure parsing and deep parsing perform equally well in this task.

We attempt to shed some light on these matters by performing a comparative evaluation of state-of-the-art syntactic parsers based on different frameworks: dependency parsing, phrase structure parsing and deep parsing.