We explore the applicability of machine translation evaluation (MTE) methods to a very different problem: answer ranking in community Question Answering. In particular, we adopt a pairwise neural network (NN) architecture, which incorporates MTE features, as well as rich syntactic and semantic embeddings, and which efficiently models complex non-linear interactions. The evaluation results show ...

In this paper we propose a full Bayesian probabilistic method to learn preferences from non-transitive pairwise comparison data. Such lack of transitivity easily arises when the number of pairwise comparisons is large, and they are given sequentially without allowing for consistency check. We develop a Bayesian Mallows model able to handle such data through a latent layer of uncertainty which c...

one concern about using transgenic plants is the genetic variation that occurred from theirs tissue culture and regeneration. molecular markers are an important element for efficient and effective determination of genetic variation. the present work was carried out to assess the genetic uniformity of transgenic cottons (bt and chitinase lines), using rapd, issr molecular markers and sds-page an...

Let |h| 3 ∅. In [50], the authors characterized algebras. We show that there exists an almost everywhere sub-ordered, pseudo-normal, pairwise contravariant and maximal subalgebra. Therefore a useful survey of the subject can be found in [50]. It would be interesting to apply the techniques of [35, 34] to composite categories.

In this paper, using the exact expression for the pairwise error probability derived in terms of the message symbol distance between two message vectors rather than the codeword symbol distance between two transmitted codeword matrices, the exact closed form expressions for the symbol error probability of any linear orthogonal space-time block codes in slow Rayleigh fading channel are derived f...

Abstract — For a space-time coded system in a correlated Rayleigh fading environment, we consider two receiver structures: (1) a suboptimum one in which the imperfect channel state information (CSI) is used in place of perfect CSI in a perfect CSI optimum receiver, (2) the optimum receiver in which the imperfect CSI is used in the maximum likelihood sense. Channel estimation is done by the use ...