Automatic Summarization
An Evolutionary Algorithm for Automatic Summarization
... handle automatic summarization problem. In fact, automatic summarization tasks often bound the summaries length in words, not in number of ...
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A Query Focused Multi Document Automatic Summarization
... Abstract. The present paper describes the development of a query focused multi-document automatic summarization. A graph is constructed, where the nodes are sentences of the documents and edge scores ...
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BillSum: A Corpus for Automatic Summarization of US Legislation
... Automatic summarization methods have been studied on a variety of domains, includ- ing news and scientific articles. Yet, leg- islation has not previously been considered for this task, despite US Congress ...
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Automatic Summarization Using Terminological and Semantic Resources
... Nowadays automatic summarization is a very prominent research ...specifically, automatic su- mmarization of medical texts has turned to an important research subject, because professionals of the ...
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A Modular Tool for Automatic Summarization
... 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 ...
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The Heterogeneity Principle in Evaluation Measures for Automatic Summarization
... The development of summarization systems requires reliable similarity (evaluation) mea- sures that compare system outputs with hu- man references. A reliable measure should have correspondence with human ...
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Performance Confidence Estimation for Automatic Summarization
... The Pearson correlations between features of the input and average system performance for each year is shown in Tables 1 and 2 for multi- and single-document summarization respectively. The last two columns show ...
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Unsupervised Sentence Enhancement for Automatic Summarization
... an automatic evaluation which compares the sys- tem output against gold-standard sentences drawn from summarization data ...in summarization, because the input sentences come from human-written sum- ...
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“Pragma SUM: Key Word Use in Automatic Summarization
... 08), summaries can be constructed, mainly, by two approaches, which are defined according to the amount and level of linguistic knowledge they use: the superficial and the detailed approach. Both of them can also a ...
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Automatic Summarization of Student Course Feedback
... Kai Hong, John Conroy, Benoit Favre, Alex Kulesza, Hui Lin, and Ani Nenkova. 2014. A repository of state of the art and competitive baseline summaries for generic news summarization. In Nicoletta Calzolari, Khalid ...
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Using Rhetorical Topics for Automatic Summarization
... improved summarization performance seen when using topics based on RST, it is worth considering whether other notions of topic, particu- larly common topic modeling methods, are useful for this ...
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A Survey on Automatic Summarization Using Multi-Modal Summarization System for Asynchronous Collections
... image summarization procedure, map images from PIS to ITJS via image classification model and describe these images utilizing several high level semantic ...
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Cohesion and coherence for Automatic Summarization
... A summarizer based on Lexical Chains is enchanced with rhetorical and argumentative struc- ture obtained via Discourse Markers... When evaluated with newspaper corpus, this integration y[r] ...
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Automatic Summarization of Online Debates
... Debate summarization is one of the novel and challenging research areas in auto- matic text summarization which has been largely ...debate summarization pipeline to summarize key topics which are ...
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Automatic Summarization
... Pascale Fung, Grace Ngai, and Percy Cheung. 2003. Combining optimal clustering and hidden Markov models for extractive summarization. Proceedings of ACL Workshop on Multilingual Summarization.Sadoki Furui, T. ...
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A Survey on Automatic Text Summarization
... Text summarization approaches can be broadly divided into two groups: extractive summarization and abstractive ...Extractive summarization extracts salient sentences or phrases from the source ...
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Automatic Texts Summarization: Current State of the Art
... an automatic summarization system of news text with the use of LSA as a way to identify the important topics in the documents without using lexical resources like ...
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NLP Based Text Summarization Using Semantic Analysis
... Text summarization (or automatic summarization) is the creation of a shortened version of a text by a computer ...text summarization: extraction and ...text summarization proposed by ...
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Title: A TEXT SUMMARIZATION USING MODERN FEATURES AND FUZZY LOGIC
... Automatic summarization is challenging problem in computational linguistics, since text summarization is an effective tool for processing large information resources in Computer ...
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Malayalam Text Summarization Using Graph Based Method
... Due to the exponential growth of information in Internet thousands of documents are available from the web. The search engines retrieve heap of web pages with bundle of data user find the appropriate or significant ...
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