Automatic summarization: Difference between revisions

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===Domain-specific versus ___domain-independent summarization===
Domain-independent summarization techniques apply sets of general features to identify information-rich text segments. Recent research focuses on ___domain-specific summarization using knowledge specific to the text's ___domain, such as medical knowledge and ontologies for summarizing medical texts.<ref>{{Cite book|last1=Sarker|first1=Abeed|last2=Molla|first2=Diego|last3=Paris|first3=Cecile|title=Artificial Intelligence in Medicine |chapter=An Approach for Query-focusedFocused Text SummarizationSummarisation for Evidence-based medicineBased Medicine |date=2013|volume=7885|pages=295–304|doi=10.1007/978-3-642-38326-7_41|series=Lecture Notes in Computer Science|isbn=978-3-642-38325-0}}</ref>
 
===Qualitative===
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*{{cite book |last=Elena |first=Lloret and Manuel, Palomar |year=2009 |title=Challenging Issues of Automatic Summarization: Relevance Detection and Quality-based Evaluation |url=http://www.informatica.si/ojs-2.4.3/index.php/informatica/article/download/273/269 |access-date=2018-10-03 |archive-date=2018-10-03 |archive-url=https://web.archive.org/web/20181003061926/http://www.informatica.si/ojs-2.4.3/index.php/informatica/article/download/273/269 |url-status=dead }}
*{{cite book |last=Andrew |first=Goldberg |year=2007 |title=Automatic Summarization}}
*{{cite book |last=Alrehamy |first=Hassan |year=2017 |title=AutomaticAdvances Keyphrasesin ExtractionComputational Intelligence Systems |volume=650 |pages=222–235 |doi=10.1007/978-3-319-66939-7_19 |chapter=SemCluster: Unsupervised Automatic Keyphrase Extraction Using Affinity Propagation |series=Advances in Intelligent Systems and Computing |date=2018 |isbn=978-3-319-66938-0 }}
*{{cite book |last=Endres-Niggemeyer |first=Brigitte |year=1998 |title=Summarizing Information |publisher=Springer |url=https://archive.org/details/springer_10.1007-978-3-642-72025-3 |isbn=978-3-540-63735-6}}
*{{cite book |last=Marcu |first=Daniel |year=2000 |title=The Theory and Practice of Discourse Parsing and Summarization |publisher=MIT Press |isbn=978-0-262-13372-2}}