The task of detecting trigger words can be performed with a CRF model by converting the task to a sequence prediction problem, in which the trigger sequences are represented with the 'IOB2' representation (Sang and Veenstra, 1999).
The approach suggested in this study is based on the differential neural network (DNN) technique which permits to convert the task of mathematical modeling of a tubular reactor containing an uncertain (not well-defined) dynamics to a non-parametric identification problem.
This is accomplished by representing concepts and relations in a high-dimensional vector space, effectively converting the task of exploring multiple possible reasoning pathways into the task of measuring the similarity between vectors.
An objective functional that considers the inaccurate properties of the reconstruction model and the measurement data, the Shearlet regularization and the total variation (TV) method is proposed to convert the TDS task into an optimization problem, where the temperature distribution is indirectly reconstructed via solving a low-dimensional vector.
9 P.M. (Smithsonian) THE GRAMMAR OF HAPPINESS As a young missionary in the Amazon rain forest in the late 1970s, Daniel L. Everett was assigned to convert the Pirah?ribe to Christianity, a task made more difficult because he didn't speak their language, seemingly unrelated to any other on earth.
It also adds buttons to the top of each of your emails, allowing you to convert the email into a new task, or add it to an existing task.
To convert an NER task to a classification problem, we need to assign annotated entities with appropriate tag representations.
However, his most important task was converting the shipyard over to the construction of nuclear submarines.
Our task is to convert the genome sketch s1 to a 'secure sketch' ss1, which satisfies two properties: (i) the secure sketch should not reveal too much information about s1, and (ii) given the genome sketch s 2 = { v 1, …, v n } of another individual and the secure sketch ss1 of the first individual, we should be able to determine if the two individuals are related or not.
A new objective functional is proposed to convert the original reconstruction task into an optimization problem, and the simulated annealing algorithm is deployed to effectively solve the proposed objective functional.
The joint learning algorithm combines the LR and HR patch pairs together to convert the coupled dictionary training task into a single dictionary training task.
