[This corrects the article on p. 124 in vol. 12, PMID: 25191502.].

This paper proposes a new, e cient, gure from ground discrimination method. This algorithm is based on the assumption that background data features can be more easily detected than gure data features, thus emphasizing the background detection task (and implying the name of the method). Along the iterative labeling process, data features are sequentially and permanently labelled as "background",...

Figure heads are words without autonomous content, such as the copula and the infinitival to. They pose a challenge for the head-driven semantics of HPSG-94, since the latter requires the CONTENTjNUCLEUS value of a head-complement combination to be identical to the one of its head daughter. As a consequence, if the head is semantically vacuous, the combination is —erroneously— predicted to be v...

[This corrects the article on p. 506 in vol. 59, PMID: 27896253.].

Figure 1. Convergence factors for various discretizations of the Laplacian (Case 1). The lines show smoothing factors of optimally weighted point Jacobi (solid line), line Jacobi (dashes), and unweighted point RB (alternating dashes). The symbols correspond to numerical calculations using V(1,0) cycles with point Jacobi (), line Jacobi (+), and point RB (2), and also two-level (1,0) cycles usin...