[PDF] Top 20 An Exploration of Document Impact on Graph Based Multi Document Summarization

... The graph-based ranking algorithm has been recently exploited for multi-document sum- marization by making only use of the sen- tence-to-sentence relationships in the documents, under the ... See full document

... a document, which can be terms, phrases, sentences, co-occurrences of words or phrases, or any syntactic or semantic ...sentences based on their importance and can be used to select significant sentences in ... See full document

... in summarization tasks for their clear and rigorous probabilistic topic interpretations (Daume and Marcu, 2006; Titov and McDonald, 2008; Haghighi and Vanderwende, 2009; Mason and Charniak, 2011; Li et al, 2013a; ... See full document

... those based on clustering, highly similar sentences of a collection are grouped into one cluster, which generates a number of ...is based on the closeness of the sentence to the centroids ...In ... See full document

... semantic graph from the document set is constructed in such a way that the graph vertices represent the predicate argument structures (PASs), extracted automatically by employing semantic role ... See full document

... original document set and choosing the top sentences to form the ...Besides, graph based models (Erkan and Radev, 2004; Mihalcea and Tarau, 2005) first measure the sentence similarity then use ... See full document

... the graph-based models do not per- form well when the sentence graph is not well ...the document set is usually composed of a few themes, which are represented by sets of sen- ...Allocation ... See full document

... in multi-document summarization has been extractive, and in our observation, scientific articles contain the type of information that we would want in a sum- mary, we follow this ...tion based ... See full document

... Generating a summary is a tricky and challenging task, especially for multi document cases. Only two aspects, namely, discounting and position weight have been considered for the study. The results obtained ... See full document

... A Study was conducted in order to clearly assess the relative performance of all the 12 methods. This study results presented throughout the rest of the paper is based on the average of 30 documents. The corpus ... See full document

... of summarization methods is generally performed in two ways ...measure based on information retrieval task is termed as the ex- trinsic method, while the evaluation based on user judgments is called ... See full document

... process multi- ple input documents and distill abstractive sum- ...a graph-matrix computed based on the basis of lexical similarity (Erkan and Radev, 2004) or discourse relations (Christensen et ... See full document

... 4.) Graph-based Lexical Centrality: It is completed by finding the most prestigious ...is based on the basis of prestige in social networks, that all are inspired many ideas in computer networks and ... See full document

... 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

... There are lots of experiments done on DUC [27] and TAC (Text Analysis Conference) [28] data sets. The best ROUGE metrics obtained are known by the Kumar and his colleagues work [29]. They also shared and compared the ... See full document

... a document graph (DG), which includes concepts connected by ...systems, based on their overlaps with the input in terms of ...sentences, based on the overlap of DG between the current sentence ... See full document

... DPP: Determinantal point processes (DPPs) (Kulesza and Taskar, 2012) are prob- abilistic models of sets which balance the selection of important information and diverse groups of sentences within a given length. ... See full document

... (2) ROUGE stands for Recall-Oriented Understudy for Gisting Evaluation. There are five different ROUGE measures: ROUGE-N, ROUGE-L, ROUGE-W, ROUGE- S and Rouge-Su. Three of them have been used in the Document ... See full document

... In order to perform feature selection using this metric, we must also define a selection procedure. The most obvious is a simple greedy selection – sort the nodes in the U DF by the measure of im- portance and select the ... See full document

... 2 based on a linear program- ming model. We represent the document as a set of intersecting ...a document is represented as the inter- section of two or more ...the summarization problem into ... See full document