Sentence examples for extracted sentences from inspiring English sources

The software subsequently extracted sentences, phrases, and individual terms to generate a text corpus.

A standard ROUGE evaluation would compare the whole block of catchphrases to the whole block of extracted sentences.

We apply a semantic role labeling technique to parse the extracted sentences so as to identify the essential knowledge associated with the event(s) described in each sentence.

The average precision rate of extracted sentences is only 28.6%.

In this comparison, the extracted sentences of gene expression relationship of Textpresso and AutoPat were both evaluated by domain experts.

The extracted results are sorted according to the score assigned to each sentence, in order to save time for users to view the extracted sentences.

Figure 2 shows an example of counting the combined weight for an extracted sentence.

When someone working on a document stops typing, the patented software takes advantage of the idle time to extract sentences from the text and analyze them for "proper grammatical composition," the patent says.

Until the technology exists to extract sentences directly from our minds, we're stuck with a middleman, some kind of system or device to translate them to written form.

When humans produce summaries of documents, they do not simply extract sentences and concatenate them.

These methods assume that a large text collection is available in the target language but we would like to apply these methods to extract sentences from the corpus.