Sentence examples for summarization without from inspiring English sources
The summarizers are evaluated for the following three cases: Case 1: Summarization without performing clustering and semantic similarity.
Case 1: Summarization without performing clustering and semantic similarity.
It is shown that summarization with clustering gives better summarization performance as compared to the summarization without clustering.
These results clearly indicates that semantic similarity along with the clustering gives better summarization results as compared to the summarization without semantic similarity and clustering.
As can be observed in Fig. 9, the extracted OG has thousands of nodes and edges, which precludes its application in reengineering tasks.1 Fig. 9 JHotDraw's OG without summarization.
While Figure 1A was produced on the summarization data set without cutoff values, Figure 1B was produced by using cutoff values of 4.3 from above and -4.3 from below on the summarization scores (any value in between was set to 0).
Case 2: Summarization with clustering but without considering semantic similarity.
Without the KM summarization, we take Parkinson Disease as the start node and the entities most related to Parkinson Disease by the cooccurrence as the end nodes of the DFS.
First, we have extracted a plain graph for JHotDraw, without any form of summarization.
Moreover, analytics with summarization data tolerate high local errors without a significant influence on the global accuracy.
Case II gives better results than the Case I results, in other words summarization using clustering gives better summarization results as compared to the summarization performed without performing clustering.
