نتایج جستجو برای: summarization
تعداد نتایج: 6574 فیلتر نتایج به سال:
This paper describes the functionality of MEAD, a comprehensive, public domain, open source, multidocument multilingual summarization environment that has been thus far downloaded by more than 500 organizations. MEAD has been used in a variety of summarization applications ranging from summarization for mobile devices to Web page summarization within a search engine and to novelty detection.
While the field of summarizing written texts has been explored for many decades, gaining significantly increased attention in the last five to ten years, summarization of spoken language is a comparatively recent research area. As the amount of spoken audio databases is growing rapidly, however, we predict that the need for high quality summarization of information contained in this medium will...
We present two approaches to email thread summarization: Collective Message Summarization (CMS) applies a multi-document summarization approach, while Individual Message Summarization (IMS) treats the problem as a sequence of single-document summarization tasks. Both approaches are implemented in our general framework driven by sentence compression. Instead of a purely extractive approach, we e...
This dissertation proposes a new automatic speech summarization method through word extraction. In this method, a set of words maximizing a summarization score indicating an appropriateness of summarization is extracted from automatically transcribed speech. This extraction is performed according to a target compression ratio using a dynamic programming technique sentence by sentence. The extra...
Different summarization requirements could make the writing of a good summary more difficult, or easier. Summary length and the characteristics of the input are such constraints influencing the quality of a potential summary. In this paper we report the results of a quantitative analysis on data from large-scale evaluations of multi-document summarization, empirically confirming this hypothesis...
We introduce the novel problem of automatic related work summarization. Given multiple articles (e.g., conference/journal papers) as input, a related work summarization system creates a topic-biased summary of related work specific to the target paper. Our prototype Related Work Summarization system, ReWoS, takes in set of keywords arranged in a hierarchical fashion that describes a target pape...
Since the late 50’s and Luhn [Luh58] the information community has expressed its interest in summarizing texts. The domains of application of such methodologies are countless, ranging from news summarization [WL03, BM05, ROWBG05] to scientific article summarization [TM02] and meeting summarization [NPDP05, ELH03]. Summarization has been defined as a reductive transformation of a given set of te...
Corresponding Author: Yogan Jaya Kumar Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, 76100, Melaka, Malaysia Email: [email protected] Abstract: It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document t...
Abstractive summarization is the ultimate goal of document summarization research, but previously it is less investigated due to the immaturity of text generation techniques. Recently impressive progress has been made to abstractive sentence summarization using neural models. Unfortunately, attempts on abstractive document summarization are still in a primitive stage, and the evaluation results...
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