01446cam a22003617a 450000100090000000300040000900500170001300600190003000700150004900800410006402000250010502000220013002000270015203500260017904000260020504200140023105000250024505000150027008200190028510000270030421000710033124501600040226000420056249000330060450400510063750600430068865000320073165000150076365000510077865000520082977300600088185601430094110191363OSt20150408114204.0m        d        cr  n         120823s2013    gw a    s     000 0 eng d  a9783642336928 (pbk.)  a3642336922 (pbk.)  z9783642336935 (e-book)  a(WaSeSS)ssj0000798938  aHDCcHDCdDLCdWaSeSS  alccopycat 4aP325.5.D38bH75 2013 4aP325.5.D38  223a006.3bHFN1 aHristea, Florentina T.10aThe Naïve Bayes model for unsupervised word sense disambiguation14aThe Naïve Bayes model for unsupervised word sense disambiguationh[electronic resource] :baspects concerning feature selection /cFlorentina T. Hristea.  aBerlin ;aLondon :bSpringer,cc2013.0 aSpringerBriefs in statistics  aIncludes bibliographical references and index.  aLicense restrictions may limit access. 0aSemanticsxData processing. 0aAmbiguity. 0aNatural language processing (Computer science) 0aComputational linguisticsxStatistical methods. 0tSpringerLink ebooks - Mathematics and Statistics (2013)40uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio10191363zFull text available from SpringerLink ebooks - Mathematics and Statistics (2013)