Sentence examples for generating summary from inspiring English sources

Figure 4 illustrates the hypothetical process that is modeled for generating summary from the multiple text documents using clustering technique.

Semantic similarity provides meaningful grouping of similar text segments as summarization content units for generating summary of the text collections.

It is also clear that clustering along with the semantic similarity provides better summarization content units for generating summary from the text collections.

The time required for generating summary from the text collection of different size and for different nodes in MapReduce framework is also shown in the Fig. 12.

Parameter values generating summary statistics similar enough to those of the empirical data were retained, i.e. the 5,000 simulations with the smallest D(S',S).

When pooling of data is to be undertaken and individual patient data are not available, methods are available for generating summary statistics from published data.

Salesforce attempts to improve the accuracy of doing the later,  generating summaries with fresh language.

Some examples of the applications of the Multi-document summarization are analyzing the web search results for assisting users in further browsing [1], and generating summaries for news articles [2].

In this case, external text can be inserted into the generated summary.

ROUGE is a collection of tests that enable fast analysis of the accuracy of a generated summary.

In phase 1 problem engagement, we can see each activity has an automatically generated summary according to the actors, resources, tools, and artifacts involved with it.