Sentence examples for from summarization from inspiring English sources

Sentence compression holds promise for many applications ranging from summarization to subtitle generation.

Observers [EC, AB] compiled an overall list of activities from summarization of the original ethnographic study and findings from previous studies, and then subsequently documented study activities by choosing descriptors from this list [10], [22].

See Additional file 1: Table S3 for full results from summarization of PGLS model.

Visualization output was not included; it was considered irrelevant, since it automatically includes all output from summarization.

To provide knowledge from the summarization of the evidence on the: a) associations between nurse education and experience and the occurrence of mortality and adverse events in acute care hospitals, and; b) benefits to patients and organizations of the recent Institute of Medicine's recommendation that 80% of registered nurses should be educated at the baccalaureate degree by 2020.

From the summarization shown in Figure 7c, the case of λ=1 and γ=10 seems to be the best choice for the smoothing step.

Other methods for summary evaluation include automatic comparison to some reference summaries (a method inspired from text summarization literature [27]), where the comparison of the produced summary is performed towards a user-generated summary of the video [16, 19, 28].

The optimization process starts by setting (P_{mathsf {s}}=P_{mathsf {r}} and redistributing probability mass from higher summarization levels to the lowest ones in (P_{mathsf {r}} of Equation (8).11 The process repeats until the distribution of rewards approximates a linear decrease as shown in Figure 19.

Gene expression values (i.e., gene intensity value) were obtained from a summarization of intensity values of all corresponding probes using the RMA (Robust Multi-array Average) method.

Teufel and Moens [ 24] has proposed a strategy for summarization by classifying sentences from scientific texts into seven rhetorical categories.

In this paper, we present a method for recognizing human activity from linguistic summarizations of temporal fuzzy inference curves representing the states of a three-dimensional object called voxel person.