Sentence examples for extracting candidate from inspiring English sources

We describe techniques for extracting candidate pronunciations from Web pages and associating them with orthographic words, filtering out poorly extracted pronunciations, normalizing IPA pronunciations to better conform to a common transcription standard, and generating phonemic from ad-hoc transcriptions.

We describe techniques for extracting candidate pronunciations from Web pages and associating them with orthographic words, filtering out poorly extracted pronunciations, normalizing IPA pronunciations to better conform to a common transcription standard, and generating phonemic representations from ad-hoc transcriptions.

The database interface returns an Open Biomedical Ontology (OBO) formatted version of the ontology and includes mechanisms for extracting candidate data and for publishing a searchable ontology to the Web.

This manuscript describes a method for extracting candidate terms from a corpus of text.

We incorporate seven rules for extracting candidate PPI pairs from sentences related to the three abstract forms discussed above (Table 1).

The purpose of this manuscript is to describe a simple method for extracting candidate new terms from any large corpus of text.

(b) Extracting candidates of users' feature words and phrases.

(B) A Venn diagram representing the relationships among the extracted candidate genes and their expression in F9 cells and ESCs.

We will be using the Lucene search engine to find relevant documents in our corpus and to extract candidate answers.

TextOntoEx analyses natural domain text to extract candidate relations and then maps them into meaning representation to facilitate constructing ontology.

We use a first order segmentation to extract candidate feature points and process them as a graph to recover the sharp feature lines.