{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:38:19Z","timestamp":1750307899012,"version":"3.41.0"},"reference-count":29,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2008,2,1]],"date-time":"2008-02-01T00:00:00Z","timestamp":1201824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001868","name":"National Science Council Taiwan","doi-asserted-by":"publisher","award":["NSC95-2221-E-002-265-MY3"],"award-info":[{"award-number":["NSC95-2221-E-002-265-MY3"]}],"id":[{"id":"10.13039\/501100001868","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Excellent Research Projects of National Taiwan University","award":["96R0062-AE00-02"],"award-info":[{"award-number":["96R0062-AE00-02"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Transactions on Asian Language Information Processing"],"published-print":{"date-parts":[[2008,2]]},"abstract":"<jats:p>Summary generation for multiple documents poses a number of issues including sentence selection, sentence ordering, and sentence reduction over single-document summarization. In addition, the temporal resolution among extracted sentences is also important. This article considers informative words and event words to deal with multidocument summarization. These words indicate the important concepts and relationships in a document or among a set of documents, and can be used to select salient sentences. We present a temporal resolution algorithm, using focusing time and coreference chains, to convert Chinese temporal expressions in a document into calendrical forms. Moreover, we consider the last calendrical form of a sentence as a sentence time stamp to address sentence ordering. Informative words, event words, and temporal words are introduced to a sentence reduction algorithm, which deals with both length constraints and information coverage. Experiments on Chinese-news data sets show significant improvements of both information coverage and readability.<\/jats:p>","DOI":"10.1145\/1330291.1330294","type":"journal-article","created":{"date-parts":[[2008,2,8]],"date-time":"2008-02-08T15:32:16Z","timestamp":1202484736000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Multidocument Summary Generation"],"prefix":"10.1145","volume":"7","author":[{"given":"June-Jei","family":"Kuo","sequence":"first","affiliation":[{"name":"National Taiwan University"}]},{"given":"Hsin-Hsi","family":"Chen","sequence":"additional","affiliation":[{"name":"National Taiwan University"}]}],"member":"320","published-online":{"date-parts":[[2008,2,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3115\/1034678.1034760"},{"key":"e_1_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Barzilay R. Elhadad N. and McKeown K. R. 2002. Inferring strategies for sentence ordering in multidocument news summarization. &lt;it&gt;J. Artif. Intell. Res. 17 &lt;\/it&gt; 35--55.   Barzilay R. Elhadad N. and McKeown K. R. 2002. Inferring strategies for sentence ordering in multidocument news summarization. &lt;it&gt;J. Artif. Intell. Res. 17 &lt;\/it&gt; 35--55.","DOI":"10.1613\/jair.991"},{"key":"e_1_2_1_3_1","unstructured":"Brunn M. Chali Y. and Pinchak C. J. 2001. Text summarization using lexical chains. In &lt;it&gt;Proceedings of Document Understanding Conference.&lt;\/it&gt; New Orleans LA. http:\/\/www-nlpir. nist.gov\/projects\/due\/pubs.html\/#2001.  Brunn M. Chali Y. and Pinchak C. J. 2001. Text summarization using lexical chains. In &lt;it&gt;Proceedings of Document Understanding Conference.&lt;\/it&gt; New Orleans LA. http:\/\/www-nlpir. nist.gov\/projects\/due\/pubs.html\/#2001."},{"key":"e_1_2_1_4_1","unstructured":"Chen H. H. and Huang S. J. 1999. A summarization system for Chinese news from multiple sources. In &lt;it&gt;Proceedings of 4th International Workshop on Information Retrieval with Asia Language;&lt;\/it&gt; Taipei Taiwan. 1--7.  Chen H. H. and Huang S. J. 1999. A summarization system for Chinese news from multiple sources. In &lt;it&gt;Proceedings of 4th International Workshop on Information Retrieval with Asia Language;&lt;\/it&gt; Taipei Taiwan. 1--7."},{"key":"e_1_2_1_5_1","unstructured":"Chen H. H. Kuo J. J. and Su T. C. 2003a. Clustering and visualization in a multi-lingual multi-document summarization system. In &lt;it&gt;Proceedings of 25th European Conference on Information Retrieval Research.&lt;\/it&gt; Pisa Italy. &lt;it&gt;Lecture Notes in Computer Science. 2633 &lt;\/it&gt; 391--401.   Chen H. H. Kuo J. J. and Su T. C. 2003a. Clustering and visualization in a multi-lingual multi-document summarization system. In &lt;it&gt;Proceedings of 25th European Conference on Information Retrieval Research.&lt;\/it&gt; Pisa Italy. &lt;it&gt;Lecture Notes in Computer Science. 2633 &lt;\/it&gt; 391--401."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.10315"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3115\/990820.990844"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.3115\/1119089.1119117"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-010-0201-1_13"},{"key":"e_1_2_1_10_1","unstructured":"Evans D. K. and McKeown K. R. 2005. Identifying similarities and differences across English and Arabic news. In &lt;it&gt;Proceedings of International Conference on Intelligence Analyis.&lt;\/it&gt; Mclean VA. 23--30.  Evans D. K. and McKeown K. R. 2005. Identifying similarities and differences across English and Arabic news. In &lt;it&gt;Proceedings of International Conference on Intelligence Analyis.&lt;\/it&gt; Mclean VA. 23--30."},{"key":"e_1_2_1_11_1","unstructured":"Filatova E. and Hatzivassiloglou V. 2004a. Event-based extractive summarization. In &lt;it&gt;Proceedings of 42nd Annual Meeting of ACL Workshop on Text Summarization.&lt;\/it&gt; Barcelona Spain. 104--111.  Filatova E. and Hatzivassiloglou V. 2004a. Event-based extractive summarization. In &lt;it&gt;Proceedings of 42nd Annual Meeting of ACL Workshop on Text Summarization.&lt;\/it&gt; Barcelona Spain. 104--111."},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220412"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/345508.345548"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/383952.383955"},{"key":"e_1_2_1_15_1","unstructured":"Hovy E. and Marcu D. 1998. Automated text summarization. &lt;it&gt;COLING\/ACL98 Tutorial&lt;\/it&gt;. Montreal Quebec Canada.  Hovy E. and Marcu D. 1998. Automated text summarization. &lt;it&gt;COLING\/ACL98 Tutorial&lt;\/it&gt;. Montreal Quebec Canada."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2006.07.016"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/215206.215333"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3115\/1075096.1075165"},{"key":"e_1_2_1_19_1","unstructured":"LDC 2005. &lt;it&gt;ACE (Automatic Content Extraction) Chinese Annotation Guidelines for Values.&lt;\/it&gt; Version 1.1.1 http:\/\/www.ldc.upenn.edu\/Projects\/ACE\/.  LDC 2005. &lt;it&gt;ACE (Automatic Content Extraction) Chinese Annotation Guidelines for Values.&lt;\/it&gt; Version 1.1.1 http:\/\/www.ldc.upenn.edu\/Projects\/ACE\/."},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/11562214_56"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1219029"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.3115\/974557.974599"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073160"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.3115\/1075218.1075228"},{"key":"e_1_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Okazaki N. Matsuo Y. and Ishizuka M. 2004. Coherent arrangement of sentences extracted from multiple newspaper articles. In &lt;it&gt;Proceedings of Pacific Rim International Conference of Artificial Intelligence.&lt;\/it&gt; Lecture Notes in Computer Science vol. 3157. 882--891.  Okazaki N. Matsuo Y. and Ishizuka M. 2004. Coherent arrangement of sentences extracted from multiple newspaper articles. In &lt;it&gt;Proceedings of Pacific Rim International Conference of Artificial Intelligence.&lt;\/it&gt; Lecture Notes in Computer Science vol. 3157. 882--891.","DOI":"10.1007\/978-3-540-28633-2_93"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/986278.986284"},{"key":"e_1_2_1_27_1","unstructured":"Radev D. R. Blair-Goldensohn S. and Zhang Z. 2001. Experiments in single and multi-document summarization using MEAD. In &lt;it&gt;Proceedings of Document Understanding Conference.&lt;\/it&gt; New Orleans LA. http:\/\/www-nlpir.nist.gov\/pojects\/due\/pubs.html\/#2001.  Radev D. R. Blair-Goldensohn S. and Zhang Z. 2001. Experiments in single and multi-document summarization using MEAD. In &lt;it&gt;Proceedings of Document Understanding Conference.&lt;\/it&gt; New Orleans LA. http:\/\/www-nlpir.nist.gov\/pojects\/due\/pubs.html\/#2001."},{"key":"e_1_2_1_28_1","unstructured":"Sakurai T. and Utsumi A. 2004. Query-based multidocument summarization for information retrieval. In &lt;it&gt;Proceedings of NTCIR-4.&lt;\/it&gt; Tokyo Japan. http:\/\/research.nii.ac.jp\/ntcir\/workshop\/ OnlineProceedings4\/TSC\/NTCIR4-TSC-Sakurail.pdf.  Sakurai T. and Utsumi A. 2004. Query-based multidocument summarization for information retrieval. In &lt;it&gt;Proceedings of NTCIR-4.&lt;\/it&gt; Tokyo Japan. http:\/\/research.nii.ac.jp\/ntcir\/workshop\/ OnlineProceedings4\/TSC\/NTCIR4-TSC-Sakurail.pdf."},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2004.04.003"}],"container-title":["ACM Transactions on Asian Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1330291.1330294","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1330291.1330294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T14:47:31Z","timestamp":1750258051000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1330291.1330294"}},"subtitle":["Using Informative and Event Words"],"short-title":[],"issued":{"date-parts":[[2008,2]]},"references-count":29,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2008,2]]}},"alternative-id":["10.1145\/1330291.1330294"],"URL":"https:\/\/doi.org\/10.1145\/1330291.1330294","relation":{},"ISSN":["1530-0226","1558-3430"],"issn-type":[{"type":"print","value":"1530-0226"},{"type":"electronic","value":"1558-3430"}],"subject":[],"published":{"date-parts":[[2008,2]]},"assertion":[{"value":"2007-06-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2007-11-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2008-02-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}