Sentence examples for structure parsing from inspiring English sources

When based on the identification of phrases, the systems usually perform the recognition of the syntactic structure, parsing, of the sentences by attributing syntactic functions to the recognized constituents [48], for example, subject and predicate, noun and verb phrases.

Owing largely to the Penn Treebank (Marcus et al., 1994), the mainstream of data-driven parsing research has been dedicated to phrase structure parsing.

Pybel, a Python wrapper of the OpenBabel [54] toolkit, was used in backend for chemical structure parsing and converting.

Furthermore, the efficiency of dependency parsing compares favorably to phrase structure parsing or deep parsing.

This article focuses on eight representative parsers that are classified into three parsing frameworks: dependency parsing, phrase structure parsing and deep parsing.

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.

A semantic frame with three slots, labelled by ,

For this reason, in the code transformation step, we adapt the file generated to the simulator structure by parsing existing file ".aaxl" and extracting the data needed to generate the input file of the simulator.

Second, we evaluated the interactome structure by parsing the interactions into three components (IN, OUT and giant strong component, GSC) using the 'bow-tie' classification of Broder et al. [ 15].

In addition, where possible, any chemical names detected will be annotated with structures derived either by lookup, or name-to-structure parsing using 'OPSIN' [14] or with identifiers from the ChEBI [15]('Chemical Entities of Biological Interest') ontology.

The optimized structure is parsed by the job creator of the Freq-0 K WF and Freq-400 K WF atomic workflow to create two parallel frequency files (Fig. 13).