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Multi-Document Summarization

Using Statistical and Semantic Models for Multi-Document Summarization

Using Statistical and Semantic Models for Multi-Document Summarization

... For Multi-Document Summarization,after training on corpus, we assign weights among the different techniques ...Single document summarization, firstly we calculate the sense vector for ...

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An Exploration of Document Impact on Graph Based Multi Document Summarization

An Exploration of Document Impact on Graph Based Multi Document Summarization

... proposed document-based graph model (de- noted as DGM) with different settings is compared with the basic graph-based Model (denoted as GM), the top three performing systems and two baseline systems on DUC2001 and ...

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Hierarchical Transformers for Multi Document Summarization

Hierarchical Transformers for Multi Document Summarization

... abstractive multi- document summarization, it still considers the multiple input documents as a concatenated flat sequence, being agnostic of the hierarchical struc- tures and the relations that ...

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Multi Document Summarization using Fuzzy and Hierarchical Approach

Multi Document Summarization using Fuzzy and Hierarchical Approach

... Abstract— Multi-Document Summarization is the task of extracting important information from the original text ...each document in order to find useful ones. Multi-Document ...

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From Single to Multi document Summarization

From Single to Multi document Summarization

... 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 coherent ...In ...

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A Subjective Logic Framework for Multi Document Summarization

A Subjective Logic Framework for Multi Document Summarization

... Automatic multi-document summarization can effectively condense information found in multi- ple documents into a short, readable synopsis, allowing users to quickly familiarize themselves with ...

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An Unsupervised Multi Document Summarization Framework Based on Neural Document Model

An Unsupervised Multi Document Summarization Framework Based on Neural Document Model

... in multi-document summarization task, for ...45 document sets respectively. Each document set has 25 news articles for summarization and 4 human-written summaries as ground ...

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Multi Document summarization using EM Clustering

Multi Document summarization using EM Clustering

... In document summarization process filtering of data is very important as data needs to be fetched from the various files and user ...in multi document summarization ...

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Exploring Content Models for Multi Document Summarization

Exploring Content Models for Multi Document Summarization

... There are several approaches to modeling docu- ment content: simple word frequency-based meth- ods (Luhn, 1958; Nenkova and Vanderwende, 2005), graph-based approaches (Radev, 2004; Wan and Yang, 2006), as well as more ...

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A Hybrid Hierarchical Model for Multi Document Summarization

A Hybrid Hierarchical Model for Multi Document Summarization

... ing multi-document summarization to produce co- herent and semantically relevant ...on summarization depend on a word score function, which is used to measure sentence rank scores based on ...

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A Supervised Aggregation Framework for Multi Document Summarization

A Supervised Aggregation Framework for Multi Document Summarization

... in summarization and Lex- PageRank (Erkan and Radev, 2004) is the representative work which is based on the PageR- ank algorithm (Page et ...in multi-document ...including multi-layer graph ...

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Graph based Neural Multi Document Summarization

Graph based Neural Multi Document Summarization

... neural multi-document sum- marization (MDS) system that incorpo- rates sentence relation ...state-of-the-art multi- document summarization ...

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Exploiting Timelines to Enhance Multi document Summarization

Exploiting Timelines to Enhance Multi document Summarization

... of multi-document summarization is to generate a summary which includes the main points from an input collection of documents with minimal repetition of similar ...in summarization, let us ...

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Topic-Sensitive Multi-document Summarization Algorithm

Topic-Sensitive Multi-document Summarization Algorithm

... for multi-document summarization based on topic model has been ...for summarization in 2009. This model made use of both the term-document and term- sentence associations to help the ...

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Multi document Summarization Using Bipartite Graphs

Multi document Summarization Using Bipartite Graphs

... Generally, multi-document summarization sys- tems differ from each other on the basis of docu- ment representation, sentence selection method or on the requirements for the output ...for ...

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Extract with Order for Coherent Multi Document Summarization

Extract with Order for Coherent Multi Document Summarization

... During a decade, several extractive approaches have been developed for automatic summary gen- eration that implement a number of machine learn- ing, graph-based and optimization techniques. LexRank (Erkan and Radev, ...

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Improved Algorithms for Document Classification &Query-based Multi-Document Summarization

Improved Algorithms for Document Classification &Query-based Multi-Document Summarization

... hour. Document Classification, where a document is classified as being under one of a number of predefined categories, is the foundation of an efficient and effective Information Retrieval ...Query-based ...

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Multi Document Summarization of Evaluative Text

Multi Document Summarization of Evaluative Text

... in summarization, we chose to develop our own sentence extractor as a first attempt at summarizing evaluative argu- ...for multi- document summarization, to suit our ...on document ...

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Hierarchical Summarization: Scaling Up Multi Document Summarization

Hierarchical Summarization: Scaling Up Multi Document Summarization

... large document collec- tions on a complex topic. Existing methods for multi-document summarization (MDS) can handle 10-15 documents and create a short flat summary, but are insufficient for ...

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Eliminating Redundancy by Spectral Relaxation for Multi Document Summarization

Eliminating Redundancy by Spectral Relaxation for Multi Document Summarization

... We had an experiment by using the NTCIR-3 1 SUMM to evaluate our approach. NTCIR-3 has two tasks, single, and multi-document summariza- tion. The data is collected from two years(1998- 1999) Mainichi ...

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