[PDF] Top 20 Enhancements to Graph Based Methods for Single Document Summarization
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Enhancements to Graph Based Methods for Single Document Summarization
... Maofu Liu et al., [5] attempted to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences describe. In this paper, the authors define an event as one or more event ... See full document
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Single Document Summarization based on Nested Tree Structure
... This subsection compares the methods of subtree selection and rooted subtree selection. Figure 4 has two example sentences for which both meth- ods selected a subtree as part of a summary. The {·} indicates the ... See full document
6
Hybrid differential evolution based automatic single document text summarization
... the summarization techniques can be classified into three approaches: the surface, entity, and discourse (Mani and Maybury, 1999, Saggion and Poibeau, ...a document to be included in the summary. The ... See full document
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Single Document Summarization as a Tree Knapsack Problem
... These methods successfully improved summarization quality, but they did not consider the rhetorical relations between the textual units of a source ...these methods may lack logical coherence. This ... See full document
6
Abstractive Document Summarization with a Graph Based Attentional Neural Model
... extractive methods and a state-of-the-art abstractive model (Distraction- M3) on the CNN dataset, as shown in Table ...tion methods reported in recent ...feature based method us- ing linear ... See full document
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Extractive Techniques for Automatic Document Summarization: A Survey
... the document will aid the reader in deciding the relevance of the text, or extract the collective gist of a number of documents ...Extractive document summarization, although simple for ... See full document
7
Comparing PMI-based to Cluster-based Arabic Single Document Summarization Approaches
... two methods are shown in table ...two methods compared to be coherent, the number of sentences chosen for the summary, according to the PMI-based score is set to the same number of sentences resulted ... See full document
5
Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning
... our summarization approach is to discover the latent topics and cluster sentences according to the ...(4) Document-specific words that are local to a single document and do not appear across ... See full document
11
Dependency based Discourse Parser for Single Document Summarization
... discourse-based summarization. We first focus on one of the best discourse-based single document summarization methods as proposed in (Hirao et ...a single doc- ... See full document
6
Multi Document Summarization by Using Graph Based Text Mining Techniques
... both single and multi-document text ...short summarization than MEAD and for remaining cases it is almost similar to ...short summarization than MEAD but for remaining cases it does not show ... See full document
8
Multilingual Single Document Summarization with MUSE
... are based on various text representation models and are language-independent since they do not rely on any language-specific ...and graph-based—according to their text representation model, where ... See full document
5
Implementation of Automatic Text Summarization
... extraction based single Document ...text Summarization is a technique where a computer summarizes a ...text document. Our methods on the sentence extraction-based text ... See full document
5
Graph Based Multi Tweet Summarization using Social Signals
... Multi-document summarization has been well studied, and a couple of systems have been ...state-of-the-art summarization system and find a sharp drop of ROUGE-2, from ...a single tweet to be ... See full document
16
Graph based Neural Multi Document Summarization
... 2002 single-document sum- marization ...multi- document summarization task has not been suc- cessful, 1) due to the lack of large multi-document summarization datasets needed to ... See full document
11
Trends in Multi document Summarization System Methods
... text, summarization is applied as a solution to information ...semantic graph based approach to generate summaries of ...summarisation methods. Graphed based methods combine with ... See full document
7
From Single to Multi document Summarization
... for single- document summarization might contain information collected across an extended time frame and from multiple sources, the author at least would synchronize them and present them in a ... See full document
8
Single Document Summarization as Tree Induction
... a document into Ele- mentary Discourse Units (EDUs) and then build a discourse tree with the EDUs 2 as leaves, Zhao and Huang (2017) parse a document into an RST tree along with its syntax subtrees without ... See full document
11
Information Retrieval and Context Based Document Summarization Using Vector Space Model
... the single form; [C] (VC)m [V] Where the superscript m denotes m repetitions of VC and the square brackets [] denote the optional presence of their ...a single suffix and then removing suffixes provided the ... See full document
8
Probabilistic Text Structuring: Experiments with Sentence Ordering
... We also obtained a dependency-style version of the corpus using MINIPAR (Lin, 1998) a broad coverage parser for English which employs a manu- ally constructed grammar and a lexicon derived from WordNet with an additional ... See full document
8
The Benchmark of Paragraph and Sentence Extraction Summaries on Outlier Document Filtering Applied Multi-Document Summarizer
... We first developed an extractive sentence summary system and proposed a new approach called ODF [25] to improve automatic summary quality. The ODF for sentence extraction (ODF_se) is evaluated on the DUC 2006 data set ... See full document
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