Topic-sensitive multi-document summarization algorithm
نویسندگان
چکیده
منابع مشابه
Multi-Topic Multi-Document Summarization
Summarization of multiple documents featuring multiple topics is discussed. The example trea.ted here consists of fifty articles about the Peru hostage incident tbr ])ecember 1996 through April 1997. They include a. lot of topics such as opening, negotiation, ending, and so on. The method proposed in this paper is based on spreading activation over documents syntactically and semantically annot...
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Topic-focused multi-document summarization aims to produce a summary biased to a given topic or user profile. This paper presents a novel extractive approach based on manifold-ranking of sentences to this summarization task. The manifold-ranking process can naturally make full use of both the relationships among all the sentences in the documents and the relationships between the given topic an...
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We study the problem of summarizing DAG-structured topic hierarchies over a given set of documents. Example applications include automatically generating Wikipedia disambiguation pages for a set of articles, and generating candidate multi-labels for preparing machine learning datasets (e.g., for text classification, functional genomics, and image classification). Unlike previous work, which foc...
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Multi-document summarization has obtained much attention in the research domain of text summarization. In the past, probabilistic topic models and network models have been leveraged to generate summaries. However, previous studies do not investigate different combinations of various topic models and network models. This paper describes an integrated approach considering both probabilistic topic...
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The graph-based ranking models have been widely used for multi-document summarization recently. By utilizing the correlations between sentences, the salient sentences can be extracted according to the ranking scores. However, sentences are treated in a uniform way without considering the topic-level information in traditional methods. This paper proposes the topic-oriented PageRank (ToPageRank)...
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ژورنال
عنوان ژورنال: Computer Science and Information Systems
سال: 2015
ISSN: 1820-0214,2406-1018
DOI: 10.2298/csis140815060n