This task poses several challenges in identifying, disambiguat-ing, and co-referencing entities across multiple verb-role pairs, but also faces some challenges of evaluation.

Unfortunately,RSsuffers from a d multiplicative factor in its approximation error, leading to ad1/4 multiplicative term in the convergence rate of distributed algorithms (e.g.

More generally, any finite subset of a hyperbolic space "looks like" a finite tree.

A single capsule is wired to represent a single entity, and its vector/matrix may learn to encode its pose w.r.t the coordinate frame imposed byanobserver.

Learning Gaussian Mixture Models (GMM) is a fundamental problem in machine learning with broadapplications.