[PDF] Top 20 Supervised Learning of Automatic Pyramid for Optimization Based Multi Document Summarization
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Supervised Learning of Automatic Pyramid for Optimization Based Multi Document Summarization
... tures based on propositions rather than sentences or n-grams, or word embedding features encoding a large amount of distributional semantic knowl- edge (Mikolov et ...summaries based on a non- linear ... See full document
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Query-Focused Multi-Document Summarization Using Co-Training Based Semi-Supervised Learning
... In this study, we propose a novel sentence-based extractive approach. Since it is not enough to select relevant sentences from a single point of view and no labeled relevant or irrelevant sentences are available ... See full document
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Fear the REAPER: A System for Automatic Multi Document Summarization with Reinforcement Learning
... There are two notable details that provide the motivation for our experiments; TD(λ) is rela- tively old as far as reinforcement learning (RL) algorithms are concerned, and the optimal ILP did not outperform ASRL ... See full document
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Extractive Summarization Using Multi Task Learning with Document Classification
... The neural network-based approaches rely heavily on large amounts of reference sum- maries for training neural models, and conse- quently, for tuning a large number of parameters. The reference summaries are ... See full document
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Auto hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi Document Summarization Corpus
... in automatic summarization is multi- document summarization with a focus on newswire ...Popular multi-document summarization corpora were cre- ated for the ... See full document
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Multi-Document Summarization using Automatic Key-Phrase Extraction
... The supervised learning methodologies have also been reported (Frank et al, ...for automatic key- words extraction using CRF ...CRF based system outperforms SVM based ...a ... See full document
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Topic-based Multi-document Summarization using Differential Evolution forCombinatorial Optimization of Sentences
... of multi- document summarization with evolutionary ...In automatic document sum- marization, the method to make a summary by finding the best combination of important sentences in ... See full document
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Concept Map Based Multi Document Summarization using Concept Coreference Resolution and Global Importance Optimization
... We evaluate our approach using two benchmark datasets and compare the generated concept maps against reference maps. As the first dataset, we use a recently published corpus by Falke and Gurevych (2017a) that provides ... See full document
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Automatically Learning Cognitive Status for Multi Document Summarization of Newswire
... Entities were automatically labeled as hearer-old or new by analyzing the syntactic form that human summarizers used for initial references to them. The labeling rests on the assumption that the people who produced the ... See full document
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An Approach for Concept-based Automatic Multi-Document Summarization using Machine Learning
... sentences based on the keywords available in the sentences and finally for reducing the sentences using KFIDF ...its summarization. The task of Entity Summarization (ES) is: given a query, a ... See full document
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Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning
... LDA based models (W-LDA, S-LDA, Standard- LDA) achieve better ...and document-specific information would influence the per- formance of topic modeling (Chemudugunta et al, 2006), that is why S-LDA and W-LDA ... See full document
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A Supervised Aggregation Framework for Multi Document Summarization
... extractive summarization tasks, sentence ranking is the issue of most concern (Wei et ...machine learning algorithms have also been applied in summarization for learning op- timal feature ... See full document
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An Unsupervised Multi Document Summarization Framework Based on Neural Document Model
... original document set and choosing the top sentences to form the ...graph based models (Erkan and Radev, 2004; Mihalcea and Tarau, 2005) first measure the sentence similarity then use ranking al- gorithm ... See full document
10
Graph based Neural Multi Document Summarization
... the multi- document summarization task has not been suc- cessful, 1) due to the lack of large multi-document summarization datasets needed to train the compu- tationally ... See full document
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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 ... See full document
8
Study on Multi Document Summarization by Machine Learning Technique for Clustered Documents
... the automatic multi-document summarization is growing rapidly as ...well. Multi-document summarization summarizes information from multiple documents which share similar ... See full document
5
Extractive Summarization Using Supervised and Semi Supervised Learning
... Supervised learning approaches normally achieve good performance but require manually labeled ...sifiers based on different feature ...classifiers based on same feature ... See full document
8
MUSEEC: A Multilingual Text Summarization Tool
... Tables 2, 3, and 4 contain the summarized re- sults of automated evaluations for the MultiL- ing 2015, single-document summarization (MSS) task. The quality of the summaries is measured by ROUGE-1 (Recall, ... See full document
6
Automatic Text Document Summarization
... for automatic method for text summarization. Text summarization is process of reducing the size of text document while preserving its information ... See full document
7
Evolutionary Computation Based Load Frequency Control of Non linear Practical Power System with Diverse Source of Power Generation
... generating units with different system parameter and all practical limitations. First time, a new chaos based EPSO algorithm (CEPSO) is proposed for the LFC of security constrained two area multi-unit hydro ... See full document
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