[PDF] Top 20 Abstractive Multi document Summarization with Semantic Information Extraction

... involves semantic matching of summary content units (SCUs) so as to recognize alternate realizations of the same meaning, which is a better metric for the abstrac- tive summary ... See full document

... salient information does the summary contain, and readability is based on how fluent and grammat- ical the summary ...of summarization datasets contain the pairs of article with a single refer- ence summary ... See full document

... evaluate abstractive summary, we constructed a test set comprising strictly ab- stractive summaries for 30 documents in DUC 2002 dataset separate from the training and de- velopment ... See full document

... To build this generative model, we consider having a parallel multi-document corpus containing clusters of texts annotated with CST relations, and their correspondent extractive summaries. Once we have the ... See full document

... the abstractive approach in a multi-document setting aims at generating summaries by deeply understanding the contents of the document set and rewriting the most rel- evant information ... See full document

... redundant information. It is a nontrivial task in the context of multi-document ...other semantic similarity tasks: semantic textual simi- larity (STS; Cer et ...single- document ... See full document

... more abstractive, which can be regarded as a result of sentence ag- gregation and fusion (Cheung and Penn, 2013; Jing and McKeown, ...common information units of the sen- tences. The ... See full document

... an abstractive summary from a semantic model of a multimodal ...Multimodal document contains both text and ...a semantic model is constructed using knowledge representation based on objects ... See full document

... In addition to automatic evaluation, we per- formed human evaluation to compare the sum- maries produced. We used Best-Worst Scaling (Louviere and Woodworth, 1991; Louviere et al., 2015), which has shown to be more ... See full document

... efficient Summarization tool. It is almost impossible to read whole of the document, it is very helpful if the summary of the document is available so, that the reader can notify whether the ... See full document

... Text summarization has turned out to be an essential and well timed tool because of supporting and then decoding the tremendous volumes of text available into ...“Text Summarization” is a method of bringing ... See full document

... on semantic discourse knowledge for ...a summarization method based on pre-defined templates and ...contextual information coverage and use CST to identify the most important ... See full document

... text summarization. However, for document sum- marization, they fail to capture the long- term structure of both documents and multi- sentence summaries, resulting in information loss and ... See full document

... In addition, if possible, when mapping input phrases to a SURGE syntactic input, the sentence planner tries to determine the semantic type of circumstantial by looking up the preposition[r] ... See full document

... basic multi- modality manifold-ranking model lacks sensitiv- ity to the context in which the words appear since it is solely based on the BOW ...and/or semantic information can be added to enhance ... See full document

... Text Summarization deals with the task of condensing documents into a summary, whose level is similar to a human-generated ...i.e., Abstractive Summarization and Extractive ...Summarization. ... See full document

... Merging Caseframes We next investigate whether simple paraphrasing could account for the above results; it may be the case that human summarizers simply replace words in the source text with synonyms, which can be ... See full document

... the Pagerank algorithm to score nodes, and finally grow the nodes from high-value to low-value us- ing some heuristics. Some of the approaches com- bine this with sentence compression so that more sentences can be packed ... See full document

... 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, ... See full document

... contained information which can be com- bined in a single complex sentence, text aggre- gation during linearization should be more effec- tive to improve the quality of ... See full document