Sentence examples for summarization system from inspiring English sources

We design a multi-document summarization system based on common fact detection.

Additionally, a movie summarization system for the automatic production of summaries is presented.

Figure 9 shows an overview of the proposed video summarization system.

We propose a novel hierarchical keyframe-based video summarization system using QR-decomposition.

The framework is designed to inform a temporally motivated sentence-ordering module in an implemented multi-document summarization system.

This paper proposes an automatic summarization system for generic audiovisual content based on MPEG-7 compliant summary descriptions.

We select MEAD as it has been used extensively both as a platform for developing summarization systems and also as a baseline system for testing novel summarizers.

Finally, two personalization and summarization systems are demonstrated for the IBM Websphere Portal Server and for pervasive PDA devices.

The evaluation of a key-frame extraction and video summarization systems has been considered a very difficult problem, as long as user-based systems are concerned.

The corpus-based approach has indeed been quite successful in producing comprehensive, moderately accurate speech recognizers, part-of-speech (POS) taggers, parsers for learned probabilistic phrase-structure grammars, and even MT and text-based QA systems and summarization systems.

For the Hollywood movies, results are obtained both from the baseline TMM13 and the ICIP15 movie summarization systems, while for the five travel documentaries and GWW, we use the extended ICIP15 system; where GWW#1 shows AUC results obtained when GWW was trained on the movies and GWW#2 shows results when the training was performed on all data.