Sentence examples for extract phrases from inspiring English sources

The aim of this paper is to propose a semi-automated approach, known as Feature Extraction for Reuse of Natural Language requirements (FENL), to extract phrases that can represent software features from software reviews in the absence of SRS as a way to initiate the RR process.

The output of the Perl script is included as a supplemental file [see Additional file 3]. 3. The Perl script getdoub.pl implements algorithm 2 to extract phrases from the text corpora composed of sequences of doublets included in the original nomenclature and exceeding 4 words in length [see Additional file 4].

The details about structures of nitrogen compounds in raffinate oils extracted by HCl (sample B), extract phrase of HCl (sample B-extract), extract phrase of furfural (sample C-extract) and furfural raffinate oil further extracted by HCl (sample C) were characterized by positive and negative ion ESI FT-ICR mass spectra.

To interpret the meaning of the extracted phrases about cultural diversity, this was an iterative process [ 26].

The purpose of the doublet phrase extractor is to parse through any corpus of text, extracting phrases that may contain new nomenclature terms.

By collecting all the word doublets found in a nomenclature, it is possible to quickly parse through enormous tracts of text, extracting phrases composed of sequences of these doublets.

For example, it may be desirable to exclude punctuation from the extracted phrases added to Piece 1, while preserving the location of punctuation in Piece 2. Likewise, saving case information (uppercase vs. lowercase formatting) would also lengthen execution time.

We find that over 85% of such extracted phrase candidates are humanly judged to be of high quality.

Weeber et al. [ 13] used Metathesaurus of the UMLS to extract biomedical phrases and further limited the desired phrases by using the semantic types of the UMLS as an additional filter.

Step 2: extract nouns/noun phrases using the Noun Extractor Step 3: search for the extracted nouns and noun phrases in the Data Storage.

If someone is doing research on computer modeling, for example, it not only knows to discard documents about fashion models but can also extract important phrases, terms, names and locations.