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  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>Textual information access : statistical models / edited by Eric Gaussier, François Yvon. [electronic resource]</dc:Title>
<dc:Creator>Gaussier, Eric.</dc:Creator>
<dc:Creator>Yvon, François.</dc:Creator>
<dc:Subject>Text processing (Computer science) Statistical methods.</dc:Subject>
<dc:Subject>Automatic indexing.</dc:Subject>
<dc:Subject>Discourse analysis Data processing.</dc:Subject>
<dc:Subject>QA76.9.T48 T56 2012eb</dc:Subject>
<dc:Subject>005.52 23</dc:Subject>
<dc:Description>Includes bibliographical references and index.</dc:Description>
<dc:Description>Print version record.</dc:Description>
<dc:Description>This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access:- information extraction and retrieval;- text classification and clustering;- opinion mining;- comprehension aids (automatic summarization, machine translation, visualization). In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications.</dc:Description>
<dc:Publisher>London : ISTE ; Hoboken, NJ : Wiley,</dc:Publisher>
<dc:Date>2012.</dc:Date>
<dc:Date>2012.</dc:Date>
<dc:Date>2012</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource (xvi, 429 pages) :</dc:Format>
<dc:Identifier>http://onlinelibrary.wiley.com/book/10.1002/9781118562796</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>ISTE</dc:Relation>
<dc:Relation>ISTE.</dc:Relation>
<dc:Relation>Textual information access.</dc:Relation>
<dc:Relation>Textual information access.</dc:Relation>

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