Sentence examples for summarization model from inspiring English sources

In this paper, we introduce the fractal summarization model for document summarization on handheld devices.

The main novelty of this paper is related to the usage of the MPEG-7 summarization tools in combination with an arousal-based audiovisual summarization model, and to the novel user evaluation methodology and study.

The expected LH value is around 2/3 for a perfect summarization model with a pure tumor sample.

Given a topic and a news article, our topic-aware summarization models, summarize the article with respect to the topic.

This corpus was used, among others, in [Shaparenko/Joachims/09b] and [Shaparenko/Joachims/07a]. [Sipos/etal/12a] R. Sipos, P. Shivaswamy, T. Joachims, Large-Margin Learning of Submodular Summarization Models.

We are now investigating summarization models of patient records that identify their co-morbidities and their status through time, by modeling all observations in the record, from the notes to laboratory test measurements and other structured information like billing codes.

Such assumptions are widely found in consumer and behavioral research where Likert scaled survey responses typically serve as the data fed into classical statistical summarization and reporting models such as regression, ANOVA, factor analysis and summarization models.

With technically replicated probes, as in the most recent chip types GWS5 and GWS6, and assuming that the effect from neighboring probes is negligible, probe affinities used in multi-array summarization models will vanish.

Since these chip types are considered outdated, we have not conducted a formal study comparing the two summarization models, but from our experience we do note a small gain when using the log-additive model (no such gain is observed for GWS6).

This paper proposes a novel document summarization framework based on deep learning model, which has been shown outstanding extraction ability in many real-world applications.

There are two ways to conceptualize this summarization: fixed effects models and random effects models.