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Themes are first identified from the set, and then a summary is formed by extracting salient sentences within the different documents of each of the identified themes. Among these approaches, latent semantic analysis (LSA<\/jats:styled-content>) based approaches rely on spectral decomposition techniques to identify the themes. In this article, we propose a major extension of these techniques that relies on the quantum information access (QIA<\/jats:styled-content>) framework. The latter is a framework developed for modeling information access based on the probabilistic formalism of quantum physics. The QIA<\/jats:styled-content> framework not only points out the limitations of the current LSA<\/jats:styled-content>\u2010based approaches, but motivates a new principled criterium to tackle multidocument summarization that addresses these limitations. As a byproduct, it also provides a way to enhance the LSA<\/jats:styled-content>\u2010based approaches. Extensive experiments on the DUC<\/jats:styled-content> 2005, 2006 and 2007 datasets show that the proposed approach consistently improves over both the LSA<\/jats:styled-content>\u2010based approaches and the systems that competed in the yearly DUC<\/jats:styled-content> competitions. This demonstrates the potential impact of quantum\u2010inspired approaches to information access in general, and of the QIA<\/jats:styled-content> framework in particular.<\/jats:p>","DOI":"10.1002\/asi.21713","type":"journal-article","created":{"date-parts":[[2012,2,16]],"date-time":"2012-02-16T15:32:14Z","timestamp":1329406334000},"page":"865-888","source":"Crossref","is-referenced-by-count":8,"title":["On using a quantum physics formalism for multidocument summarization"],"prefix":"10.1002","volume":"63","author":[{"given":"B.","family":"Piwowarski","sequence":"first","affiliation":[{"name":"CNRS\/LIP6, University Paris 6 Paris France"}]},{"given":"M.R.","family":"Amini","sequence":"additional","affiliation":[{"name":"Laboratoire d'Informatique de Paris 6 Paris France"}]},{"given":"M.","family":"Lalmas","sequence":"additional","affiliation":[{"name":"Yahoo! 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