[PDF] Top 20 Multi Topic Multi Document Summarization

... 1222 pdf ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? # ? ? ? ? ? % & ( * , , 2 4 2 7 8 9 ; ; > ? @ A C E @ 9 ? H I K H K C N A O P C S 9 N C E 9 N V X Y Y Z [ ] ^ ` C 9 b C ] c @ H O @[.] ... See full document

... Our second evaluation study assessed the over- all quality of the summaries by asking partici- pants to rank them taking into account the fol- lowing criteria: Informativeness (does the sum- mary convey important facts ... See full document

... from summarization, global knowledge (or broadly speaking, knowledge extracted from external resource) is widely used for keyphrase extraction (Hasan and Ng, 2014), where the task is to “select important and ... See full document

... (2) When it came to the measure for cohesion the results are confusing. If even the human- made summaries score only 2.74 out of 4, it is unclear what this category means, or how the assessors arrived at these scores. ... See full document

... reduce summarization to the maximum coverage problem (Takamura and Oku- mura, 2009; Gillick and Favre, 2009) that, de- spite a great performance, is known as NP- hard (Khuller et ...in summarization field ... See full document

... 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 ... See full document

... chical summarization and information structuring methods, such as the works by Christensen et ...a document collection by summarizing each tree of the hierarchy ...large multi-faceted sum- marization ... See full document

... ICSISumm: This system (Gillick et al., 2009) optimizes the coverage of bigrams weighted by their document frequency within the input using Integer Linear Programming (ILP). Even though this problem is NP-hard, a ... See full document

... underlying topic. As stated earlier, within a document set, the documents may cover various subtopics and the same subtopic can be across several ...by topic model (Blei et ...ing topic of a ... See full document

... A multi-document extension of RST is Cross-document Structure Theory (CST), which has been applied to MDS (Zhang et ...of summarization based on lightweight ... See full document

... In this context, this work is focused on the investigation of HMDS content selection strategies. Particularly, for a corpus of news texts, we study some superficial and deep sentence features that may be useful for ... See full document

... 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 ... See full document

... 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 ... See full document

... putting pressure on system developers and prevent- ing them from fully exploring the strengths of gen- eration techniques. It seems that if researchers in the field are to explore non-extractive methods, they would need ... See full document

... We experimented with some set of documents on same topics and observed the fact that apart from different views and writing style of different authors, all of them contain certain subtopics about the topic and ... See full document

... query-focused multi- document summaries given a collection of documents, which is usually considered as a sen- tence ranking ...extractive summarization (Ouyang et ...of summarization, it’s ... See full document

... In the summarization task, optimization of the three properties discussed in Section 1, relevance, non-redundancy and readability, is required. This is a global inference problem, which can be solved by two ... See full document

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

... four summarization tasks and our proposed meth- ods based on the minimum dominating set have outperformed many existing ...generic, topic-focused and update summarization tasks, the experiments are ... See full document

... In this section, we rank the sentences by applying TextRank algorithm (Mihalcea and Tarau, 2004) which involves constructing an undirected graph where sentences are vertices, and weighted edges are formed connecting ... See full document