[PDF] Top 20 Multi-Document Summarization using Automatic Key-Phrase Extraction

... Text Summarization, as the process of identify- ing the most salient information in a document or set of documents (for multi document summari- zation) and conveying it in less space, became ... See full document

... BSU Extraction. BSUs are extracted from the sentences of the documents. The texts are pre- processed by name entity recognition (Finkel et al., 2005) and co-reference resolution (Lee et al., 2011). Constituent and ... See full document

... Text Summarization involves reducing large amount of text into smaller in ...the document or large ...the document. This technique based on the ranking the sentence from key phrase ... See full document

... system and evaluated ROUGE metrics F-Score proper- ty for DUC 2005, DUC 2006 and DUC 2007 data sets. The obtained values for F-Score property are higher than the values produced by DUC participants systems. However the ... See full document

... There are several possible ways how to improve the approximation of AP. First, more semantically- oriented features could be developed, e.g., fea- tures based on propositions rather than sentences or n-grams, or word ... See full document

... the document (Shen et ...method using the DE ...by using an alternative similarity measure, the “Jaccard coefficient” (Jaccard, 1901) , and a “feature-scoring” mechanism for diverse sentence ... See full document

... as key concepts and facts in his/her mind, such as “an armed man” and “walked into an Amish school” from Figure ...the key concepts and facts to form new sentences for the ...each phrase by ... See full document

... content. Document summarization can also be classified along two diverse dimensions such as abstract-based and ...the document, whereas an abstract-summary may use words and phrases that do not ... See full document

... Psycholinguistic studies have shown that people read frequent words and phrases more quickly (Haberlandt and Graesser, 1985; Just and Carpen- ter, 1987), so the words that appear in a text might influence people’s ... See full document

... Keyword extraction has a close connection to a number of text mining ...keyword extraction methods in this ...exploited key phrase extraction to LAKE system at ...traditional ... See full document

... an extraction based ...single-document summarization - taking into account some of the major issues arising in multi-document summarization: (i) the need to carefully eliminate ... See full document

... into automatic feature extraction mechanisms from product ...opinion summarization techniques which retrieves relevant information from the document set that are available, determines the ... See full document

... weights while PartTreeAbSum abstractive summa- rization approach detailed in the paper. Results on DUC-2004 shows that noise-pruning using max- imum weighted partial tree extraction was effec- tive in terms ... See full document

... state-of-the-art automatic single-document summarization systems employ one of three techniques: sentence extraction, bag-of-words headline generation, or document ...Sentence ... See full document

... text summarization is a challenging natural language processing (NLP) task which has been researched for several ...for multi-document summarization (MDS) are, however, rather small and ... See full document

... of Extraction-based methods is ...developed summarization methods were of this category (Edmundson and Wyllys, ...the summarization systems of this ... See full document

... correlated summarization for multiple news ...single document summarization a system for query- specific document summarization has been proposed (Varadarajan and Hristidis, 2006) based ... See full document

... original extraction algorithm was used to automatically create large volume of (extract, abstract, text) tuples for training extraction-based summarization systems with (abstract, text) input ... See full document

... 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 ... See full document

... mark using ASRL and other top-scoring sum- marization systems compared with REAPER us- ing ...generic multi-document sum- marization we run experiments on all 50 docu- ment clusters, each containing ... See full document