{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T14:11:47Z","timestamp":1648649507141},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2006,6]]},"abstract":"<jats:p> Data availability is not a major issue at present times in view of the widespread use of Internet; however, information and knowledge availability are the issues. Due to data overload and time-critical nature of information need, automatic summarization of documents plays a significant role in information retrieval and text data mining. This paper discusses the design of a multi-document summarizer that uses Katz's K-mixture model for term distribution. The model helps in ranking the sentences by a modified term weight assignment. Highly ranked sentences are selected for the final summary. The sentences that are repetitive in nature are eliminated, and a tiled summary is produced. Our method avoids redundancy and produces a readable (even browsable) summary, which we refer to as an event-specific tiled summary. The system has been evaluated against the frequently occurring sentences in the summaries generated by a set of human subjects. Our system outperforms other auto-summarizers at different extraction levels of summarization with respect to the ideal summary, and is close to the ideal summary at 40% extraction level. <\/jats:p>","DOI":"10.1142\/s1469026806001976","type":"journal-article","created":{"date-parts":[[2007,4,5]],"date-time":"2007-04-05T11:12:44Z","timestamp":1175771564000},"page":"231-243","source":"Crossref","is-referenced-by-count":3,"title":["A PROBABILISTIC APPROACH TO MULTI-DOCUMENT SUMMARIZATION FOR GENERATING A TILED SUMMARY"],"prefix":"10.1142","volume":"06","author":[{"given":"M.","family":"SARAVANAN","sequence":"first","affiliation":[{"name":"Department of Computer Science &amp; Engineering, IIT Madras, Chennai, Tamil Nadu 600 024, India"}]},{"given":"S.","family":"RAMAN","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Engineering, IIT Madras, Chennai, Tamil Nadu 600 024, India"}]},{"given":"B.","family":"RAVINDRAN","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Engineering, IIT Madras, Chennai, Tamil Nadu 600 024, India"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1137\/1037127"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1145\/321510.321519"},{"key":"rf7","first-page":"264","volume":"26","author":"Paice C. D.","journal-title":"Inf. Process. Management"},{"key":"rf8","volume-title":"Foundations of Statistical Natural Language Processing","author":"Manning C. D.","year":"2001"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1147\/rd.22.0159"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"rf16","volume-title":"Discrete Distributions","author":"Johnson N. L.","year":"1969"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324996001246"},{"key":"rf18","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1017\/S1351324900000139","volume":"1","author":"Church K. W.","journal-title":"Natural Language Eng."}],"container-title":["International Journal of Computational Intelligence and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1469026806001976","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T00:17:17Z","timestamp":1565137037000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1469026806001976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,6]]},"references-count":9,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2006,6]]}},"alternative-id":["10.1142\/S1469026806001976"],"URL":"https:\/\/doi.org\/10.1142\/s1469026806001976","relation":{},"ISSN":["1469-0268","1757-5885"],"issn-type":[{"value":"1469-0268","type":"print"},{"value":"1757-5885","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,6]]}}}