PKUSUMSUM is a Java platform for multilingual document summarization, and it supports multiple languages, integrates 10 automatic summarization methods, and tackles three typical summarization tasks. The summarization platform has been released and users can easily use and update it. In this paper, we make a brief description of the characteristics, the summarization methods, and the evaluation...

Until recently there are no common, convenient, and repeatable evaluation methods that could be easily applied to support fast turn-around development of automatic text summarization systems. In this paper, we introduce an informationtheoretic approach to automatic evaluation of summaries based on the Jensen-Shannon divergence of distributions between an automatic summary and a set of reference...

A substantial amount of textual data is present electronically in several languages. These texts directed the gear to information redundancy. It essential remove this redundancy and decrease reading time these data. Therefore, we need a computerized text summarization technique extract relevant from group documents with correlated subjects. This paper proposes language-independent extractive te...

Automatic headline generation is a sub-task of document summarization with many reported applications. In this study we present a sequence-prediction technique for learning how editors title their news stories. The introduced technique models the problem as a discrete optimization task in a feature-rich space. In this space the global optimum can be found in polynomial time by means of dynamic ...

We have proposed an automatic speech summarization approach that extracts words from transcription results obtained by automatic speech recognition (ASR) systems. To numerically evaluate this approach, the automatic summarization results are compared with manual summarization generated by human subjects through word extraction. We have proposed three metrics, weighted word precision, word strin...

This study examined the effect of reading tasks on the integration of content and source information from multiple texts. Undergraduate students (N = 102) read five newspaper articles about a fictitious incident in either a summarization task condition or an evaluation task condition. Then, they performed an integration test and a source choice test, which assessed their understanding of a situ...

Automatic video summarization has become an active research topic in content-based video processing. However, not much emphasis has been placed on developing rigorous summary evaluation methods and developing summarization systems based on a clear understanding of user needs, obtained through user centered design. In this paper we address these two topics and propose an automatic video summary ...

In this paper, we describe our guided summarization system that participated in the TAC 2011 competition. We submitted two runs for the guided summarization task by following a random walk paradigm. Two different approaches were applied for the update component to create two runs of our guided summarization system: 1) using ROUGE (RecallOriented Understudy for Gisting Evaluation), and 2) using ...

Guided summarization is an extension of query-focused multidocument summarization. We proposed a novel ranking algorithm, Topic Guided Manifold Ranking with Sink Points (TMSP) for guided summarization tasks of TAC2010. TMSP is a topic extended version of Manifold Ranking with Sink Points (MRSP), which handles the Update Summarization tasks of TAC2009 well. We adopt the TMSP and MRSP methods to ...