Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
Distinguishing transient blocks from frequently used blocks enables servicing references to transient blocks from a small fully-associative auxiliary cache structure. By inserting...
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
Abstract-- This letter presents a new oblivious routing algorithm for 3D mesh networks called Randomized PartiallyMinimal (RPM) routing that provably achieves optimal worstcase thr...