Sentence examples for weighting summarization from inspiring English sources

First, D meta-analyses with inverse variance weighting summarization provide pooled estimates and their variances per study design.

The summarization step requires a set of true positives for weighting the different statistics according to how well they capture the observed coresponse patterns in a given pathway.

Multimodal saliency, av vs. avt, where the weight w=0.1 and summarization algorithm (illustrating the effect of reconstruction opening by showing the raw (automatically) selected segments, the shot reconstructed and the speech reconstructed segments) and the manual selected segments (by the human annotators).

The data was normalized using the Bi-weight and Mean Summarization functions in CARPET [8] revealing correlation coefficients between 0.71 and 0.78 for all replicate comparisons.

As the number of documents increases in multi-document summarization, the summarizer gets more difficulties in performing the summarization.

For future work, we intend to further refine our methods and the movie summarization algorithm automating the weight selection for the text modality as well as the segmentation of shots and scenes.

The Pyramid evaluation combines both a precision measure (as the score is a function of the size of the summary) and of a recall measure (as the score is also a function of the weights of the optimal SCUs or Summarization Content Units).

As existing summarization approaches inherently assign more weights to the important sentences, our approach predicts the summary sentences that are important as well as readable to the target audience with good accuracy.