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Extraction of Semantic Information from an Ordinary English Dictionary and its Evaluation
, 1988
"... U Collective + 'O' V P' + W 'T' + T X 'T' + Y 'T' + 'Q' Z UNMARKED total 957 836 26 15 359 181 27 21 257 187 453 314 111 79 3457 2426 42 26 5794 3927 2 2 631 464 875 603 2144 1436 69 42 758 593 23 14 4 3 1291 887 16577 9668 ..."
Abstract
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Cited by 41 (0 self)
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,.s 'Plmtt? , 'owever, the produc thesaurus does not captm dionactive co*ceFs sa<h as %nimal or plant (V)' corrtl. In the definition of c'roasbreed (tgble 9), the produced thanrus only u lant as :, key noun aud ingor animal. This h a typical problem ht the current produced hmmas
d p i
"... bstract We have d sing a high-Q ottom for easuring the haracterize superconductin emperature, a ill present th nd testing res The advanc akes it more pplications. C o improve the aterials or to ccelerator cav roperties is th uenching fiel ccelerator gra During 200 system to m mushroom” hich can hos ..."
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[1, 2, 3]. The s lystron with hanged the rovide higher he system is a SY The schema ain compone esonant at ~1 he choice of F facilities a lso makes t ryogenic cham ode, which h ultipacting o voids radial etachable bot art of the sa sample diamet s made of co epeatable sur hich is impo owever
(T/E) FACTORIZATION PROPERTY OF THE DEUTERON*
, 1985
"... Using a simple field-theoretic model we show that, in the zero binding limit, the relativistic deuteron wave function has a cluster decomposition; i.e., factors into two separate nucleon wave functions convoluted with a body wave function. The framework of the calculation is a Fock state expansion a ..."
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shall show here, the region of validity of Eq. (1.1) for the deuteron is very small: i.e., Q 5 100 MeV. H owever, in this region the nucleon form factor does not deviate significantly from unity,4 so eq. (1.1) is of doubtful utility. The deuteron form factor Fd (Q2), by definition, is the probability
unknown title
"... nv c, neti me 8, U Sparse representation Non-convex optimization s si the ng W proposed. It has better performance in preserving image edges than conventional sparsifying transforms. are presented in the smooth region when the data are highly undersampled. In RI) is ical str ..."
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nv c, neti me 8, U Sparse representation Non-convex optimization s si the ng W proposed. It has better performance in preserving image edges than conventional sparsifying transforms. are presented in the smooth region when the data are highly undersampled. In RI) is ical str
