[PDF] Top 20 A New Approach to Automatic Document Summarization

... our approach, we applied the widely used test corpus of (DUC2001), which is spon- sored by ARDA and run by NIST ...of summarization and enable researchers to participate into large-scale ... See full document

... ROUGE is widely used to automatically 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 ... See full document

... Automatic document summarization is a hot and important research area related with computer science and ...of summarization approaches depending on what the summarization method focuses ... See full document

... There are several works based on semantic discourse knowledge for MDS. Zhang et al. (2003) replace low-salience sentences with sentences that maximize the total number of CST relations in the summary. Afantenos et al. ... See full document

... 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 ...abstractive ... See full document

... large document and non-redundant multi-document summaries, where MMR results are clearly superior to non-MMR passage ...of summarization methods for single documents. In this paper [Automatic ... See full document

... One obvious aspect of our method that may reduce its general usefulness is the computation time. In fact, we found that despite the efficient dynamic programming algorithms available for this model, the state space and ... See full document

... Text summarization is the process of extracting salient information from the source text and to present that information to the user in the form of ...text. Automatic abstractive summarization ... See full document

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

... The first group of Extraction-based methods is statistical. These methods statistically assign sig- nificance score to different textual units. The very first developed summarization methods were of this category ... See full document

... a new method in which each utterance is summarized, based on all possible summarization ratios, and then the best com- bination of summarized sentences for each utterance is deter- mined according to a ... See full document

... Extractive summarization and abstractive ...Extractive summarization usually ranks the sentences in the documents according to their scores calculated by a set of predefined features, such as term frequency ... See full document

... a new approach called ODF [25] to improve automatic summary ...paragraph summarization has been incorporated to this system and it is tested on similar ... See full document

... and document summarization (Ma and Wan, ...of new representation and the expected dis- ...in summarization, the sum- maries can be seen as the new representation X ˆ of original ... See full document

... phone. This task is different from news summa- rization in that dialogues need to be analysed in a deeper manner in order to recover the problem being addressed and how it is solved, and convert spontaneous utterances to ... See full document

... on automatic summarization usually use small and homogeneous datasets to evaluate their ...abstractive summarization methods, which are usually trained on the only available large ... See full document

... Automatic summarization (AS) is studied since the late 1950s (Luhn, ...1958). Automatic summa- rization methods were mostly extractive until re- cently, where abstractive methods have emerged thanks ... See full document

... the summarization techniques can be classified into three approaches: the surface, entity, and discourse (Mani and Maybury, 1999, Saggion and Poibeau, ...level approach uses a shallow feature set to extract ... 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

... Natural Language Processing (NLP) is an area of research and application that analyze how computers are used for understanding and manipulating natural language text or speech to achieve the desired tasks. The goal of ... See full document