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Common terms and phrasesabstract aggregation algorithm analysis anaphors annotated application approach automatic summarization clause coherence compaction compared components compression rate Computational Linguistics coreference corpus cosine similarity cue phrases discourse marker discourse-level discussed in Chapter domain Equation evaluation example extracting sentences full-text Gettysburg Address graph graph topology human summarization identified information extraction input involves leveraged lexical linguistic machine machine learning match methods multi-document summarization natural language nodes notion occur operations output paragraphs parse tree particular passages problem produce professional abstractors query redundancy reference summary relevance assessment result retrieval revision rhetorical relations rhetorical structure salience scores script selected semantic representation sentence extraction sequence similar slots source document source text strategies subjects summarization systems synonymy synset syntactic synthesis task template text cohesion text elements text segments tion topic-focused topical segments tree tuples vocabulary overlap weight word senses WordNet words Popular passagesPage 7 - Now we are engaged in a great civil war, testing whether that nation or any nation so conceived and so dedicated can long endure. We are met on a great battlefield of that war. We have come to dedicate a portion of that field as a final resting-place for those who here gave their lives that that nation might live. Page ii - Natural Language Processing Editor Prof. Ruslan Mitkov School of Humanities, Languages and Social Sciences University of Wolverhampton Stafford St. Wolverhampton WV1 1SB, United Kingdom Email: R.Mitkov@wlv.ac.uk Advisory Board Christian Boitet (University of Grenoble) John Carroll (University of Sussex, Brighton) Eugene Charniak (Brown University, Providence) Eduard Hovy (Information Sciences Institute... Page 12 - The world will little note, nor long remember, what we say here, but can never forget what they did here. Page 1 - Informally, the goal of text summarization is to take a textual document, extract content from it and present the most important content to the user in a condensed form and in a manner sensitive to the user's or application's needs [13]. Page 94 - With its distant orbit — 50 percent farther from the sun than Earth — and slim atmospheric blanket, Mars experiences frigid weather conditions. Surface temperatures typically average about -60 degrees Celsius (-76 degrees Fahrenheit) at the equator and [...] can dip to -123 degrees C near the poles. Only the midday sun at tropical latitudes is warm enough to thaw ice on occasion, but any liquid water formed in this way would evaporate almost instantly because of the low atmospheric pressure.... Page 221 - As has repeatedly been emphasized before, no theory ever solves all the puzzles with which it is confronted at a given time; nor are the solutions already achieved often perfect. On the contrary, it is just the incompleteness and imperfection of the existing data-theory fit that, at any time, define many of the puzzles that characterize normal science. If any and every failure to fit were ground for theory rejection, all theories ought to be rejected at all times. Page 266 - New methods in automatic abstracting". Journal of the Association for Computing Machinery 16 (2): 264-285. Page 111 - Ask for SYNCOM diskettes, with burnished Ectype* coating and dust-absorbing jacket liners. As your floppy drive writes or reads, a Syncom diskette is working four ways to keep loose particles and dust from causing soft errors, dropouts. Cleaning agents on the burnished surface of the Ectype®coating actually remove build-up from the head, while lubricating it at the same time. Page ii - ... (University of Edinburgh) John Nerbonne (University of Groningen) Nicolas Nicolov (IBM, TJ Watson Research Center) Kemal Oflazer (Sabanci University) Allan Ramsey (UMIST, Manchester) Monique Rolbert (Universite de Marseille) Richard Sproat (AT&T Labs Research, Florham Park) Keh-Yih Su (Behaviour Design Corp.) Isabelle Trancoso (INESC, Lisbon) Benjamin Tsou (City University of Hong Kong) Jun-ichi Tsujii (University of Tokyo) Evelyne Tzoukermann (Bell Laboratories, Murray Hill) Yorick Wilks (University... References to this bookFrom other books
From Google ScholarSummac: a text summarization evaluationINDERJEET MANI, GARY KLEIN, DAVID HOUSE, LYNETTE HIRSCHMAN, THERESE FIRMIN, BETH SUNDHEIM - 2002 - Natural Language Engineering Introduction to the Special Issue on SummarizationDragomir R Radev, Eduard Hovy, Kathleen McKeown - 2002 - Computational Linguistics References from web pagesAutomatic summarization - Wikipedia, the free encyclopedia Automatic Summarization Automatic summarization of voicemail messages using lexical and ... The Challenges of Automatic Summarization The challenges of automatic summarization - Computer Semi-Automatic Summarization of XML Collections Integrating cohesion and coherence for Automatic Summarization Mani Automatic Web Site Summarization Front Matter Bibliographic information
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