[PDF] Top 20 The Heterogeneity Principle in Evaluation Measures for Automatic Summarization
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The Heterogeneity Principle in Evaluation Measures for Automatic Summarization
... There is a wide set of available measures beyond the standard ROUGE: for instance, those comparing basic linguistic elements (Hovy et al., 2005), depen- dency triples (Owczarzak, 2009) or convolution ker- nels ... See full document
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A method for Automatic Text Summarization using Consensus of Multiple Similarity Measures and Ranking Techniques
... summary evaluation tool ‘ROUGE’ (Lin, 2004) was used to compare the results with several other ...of summarization methods that competed in the TAC 2011 conference (UBSum- marizer and UoEssex), a widely ... See full document
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Automatic Evaluation of Linguistic Quality in Multi Document Summarization
... Other measures implemented in the sys- tem are surface text properties known to contribute to text processing ...are measures of cohesion between adjacent sentences such as similarity under a latent ... See full document
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Automatic summarization as means of simplifying texts, an evaluation for Swedish
... numerous measures of readability and readability for a number of different summariza- tion techniques has been investigated by, for in- stance, Margarido et ...matic evaluation of various aspects of ... See full document
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The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
... evaluate summarization systems. However, ROUGE measures semantic overlap between a system summary and a human reference on word-string level, much at odds with the contemporary treatment of semantic ...news ... See full document
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Better Summarization Evaluation with Word Embeddings for ROUGE
... ROUGE-1 measures the amount of unigram over- lap between model summaries and automatic sum- maries, and ROUGE-2 measures the amount of bi- gram ...ROUGE-SU4 measures the amount of overlap of ... See full document
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Automatic discussion summarization : a study of Internet fora
... to evaluation metrics: Intrinsic evaluation measures the quality aspects and extrinsic measures the utility ...Gisting Evaluation (ROUGE) metrics, largely due to their use at the annual ... See full document
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An Assessment of the Accuracy of Automatic Evaluation in Summarization
... Automatic evaluation has greatly facilitated system development in ...of automatic evaluation has been viewed with mistrust by many, as its accuracy and correct application are not well ...the ... See full document
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An Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method
... 12 measures, described in Section 4.4, as measures to calculate topical similarities between summaries, and compared these measures by ...for summarization ratios of 40% and 20% are shown in ... See full document
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Re evaluating the Role of Bleu in Machine Translation Research
... alternative automatic translation evaluation metrics do a much better job at incorporating re- call than Bleu ...which measures translation accu- racy in terms of precision and recall directly rather ... See full document
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Corpus and Evaluation Measures for Multiple Document Summarization with Multiple Sources
... on automatic text summarization has attracted a lot of attention recently and there have been many studies in this ...the automatic sum- marization of multiple documents rather than single ... See full document
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Question Answering as an Automatic Evaluation Metric for News Article Summarization
... new automatic sum- marization evaluation metric for news articles datasets based on the ability of a summary to an- swer questions regarding salient information from the ...manual evaluation metrics ... See full document
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Monitoring and project evaluation as a principle of following efficiency of adopted measures
... In this phase, it is necessary to ascertain, that the pro- gramme realisation and its individual projects respect the appointed system of indicative indicators related to the individual programmes and projects ... See full document
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Single Document Text Summarization Using Clustering Approach Implementing for News Article
... for automatic text summarization by extraction of sentences from the Reuters-21578 corpus which include newspaper articles and used clustering approach for extraction ...Text Summarization is given ... See full document
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... Automatic Summarization 2000 Seattle Embedded Machine Translation Systems 2000 Seattle Reading Comprehension Tests as Evaluation for Computer-Based 2000 Seattle Language Understanding Sy[r] ... See full document
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Title: Optimizing Accuracy of Document Summarization Using Rule Mining
... Abstract :- The massive quantity of data available today on the Internet has reached unforeseen volumes; thus, it is humanly unfeasible to efficiently sieve useful information from it. New information is continuously ... See full document
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Automatic Texts Summarization: Current State of the Art
... inflectional and derivational, and words can have many different forms which makes morphology is a very complex task. In addition, written character in different ways depends on the position of letter in the word, which ... See full document
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Automatic Text Document Summarization
... text summarization algorithm is proposed by Amulfo et al [12], which use n-grams and maximal frequent word sequences as features in a vector space ...document summarization. The use of machine learning ... See full document
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“Pragma SUM: Key Word Use in Automatic Summarization
... An educational corpus was employed in order to perform the 2017). The corpus is composed of scientific articles written in Portuguese and contains texts in ten fields of knowledge within the Education domain. Scientific ... See full document
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Query based summarization using MDL principle
... Query-based summarization (QS) is directed to- ward generating a summary most relevant to a given ...MDL principle, defining the best summary as the one that leads to the best compres- sion of the text with ... See full document
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