[PDF] Top 20 An Effective Approach for News Article Summarization

... In addition to the research challenges in developing automatic summarization systems, how good to evaluate their result has emerged as a research issue in itself. With the literature available the evaluation ... See full document

... Supervised learning is widely used in summariza- tion. For example, the seminal study by Kupiec et al. (1995) used a Naive Bayes classifier for selecting sentences. Recently, Wang et al. (2015) proposed a regression ... See full document

... of news system has been discussed in this ...the summarization, therefore authentication of news leads to summarization of news such that if authenticity measure is greater than or ... See full document

... relevant news articles over time. By switching summarization configura- tions at run-time, we can effectively exploit redun- dancies in content at times with high media atten- tion and thereby create ... See full document

... from news streams. We propose sim- ple yet effective models to solve the problem based on a novel and promising representation of text streams – Burst Information Networks ...online summarization ... See full document

... Voices news articles to cheaply collect evaluation data for into- English and from-English summarization in 15 ...into-English summarization task, we crowd-source a high- quality evaluation dataset ... See full document

... this article, we present the concept of sentence fusion, a novel text-to-text gen- eration technique which, given a set of similar sentences, produces a new sentence containing the information common to most ... See full document

... text summarization is an automatic multi-lingual document ...for Summarization Yield) is an automatic, extract generating, summarization system that uses linguistic trimming and statistical methods ... See full document

... In this study, we propose a novel approach for comparative news summarization. We consider comparativeness and representativeness as well as redundancy in an objective function, and solve the ... See full document

... as effective as other methods. Keywords approach which uses the terms with high idf values for locating the context achieves slightly higher Rouge-L precision while it has the lowest ...keywords ... See full document

... multi-document summarization is growing rapidly as well. Multi-document summarization summarizes information from multiple documents which share similar ...Multi-document summarization has been ... See full document

... digest, news press like CNN, USAToday or news disseminator like Yahoo often provide ‘summaries’ for their news articles, so that readers can get the gist of a story ...automatic summarization ... See full document

... Automatic summarization is an important task as a form of human support ...example-based approach. Using example-based approach for the summarization task has the following three advantages: ... See full document

... text summarization focused two main ideas have emerged to deal with this task; the first was how a summarizer has to treat a huge quantity of data and the second, how it may be possible to produce a human quality ... See full document

... The Pyramid method (Nenkova et al., 2007) is a manual evaluation metric that analyzes multiple human-made summaries into “Summary Content Units” (SCUs) and assigns importance weights to each SCU. Different summaries are ... See full document

... the summarization process of Japa- nese broadcast ...manual summarization proc- ess of the Japan Broadcasting Corpora- tion ...of news text on a daily basis since De- cember ...of news summa- ... See full document

... Hachey’s approach is sentence ex- traction rather than phrase ...decision summarization setting. Nevertheless, we will adapt his approach for com- parison with our relation-based summarization ... See full document

... The evaluations are reported in ROUGE-1 me- trics, which seeks unigram matches between the generated and the reference summaries. The ROUGE-1 metric is found to have high correlation with human judgments at a 95% ... See full document

... The raw data for the dataset was collected from the Com- mon Crawl project 2 using the Common Crawl API. Ini- tially, five Czech news websites were selected to cre- ate the dataset: novinky.cz , lidovky.cz , ... See full document

... However, building automatic parsers for dis- course information has proven to be a hard task overall (Marcu, 2000; Soricut and Marcu, 2003; Wellner et al., 2006; Sporleder and Lascarides, 2008; Pitler et al., 2009) and ... See full document