Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. It requires deeper analysis than key word searches, but its aims fall short of the very hard and long-term problem of full text understanding. Information extraction represents a midpoint on this spectrum, where the aim is to capture structured ...

Using scene analysis as the task, this research focuses on three fundamental problems in neural network systems: (1) limited processing resources, (2) representing schemas, and (3) learning schemas. The rst problem arises because no practical neural network can process all the visual input simultaneously and e ciently. The solution is to process a small amount of the input in parallel, and succ...

the objectives of this study was to estimation of greenhouse gases (ghg) emissions and global warming in rice production and identify measures to reducing fossil energy use and greenhouse gases emissions. three rice production systems included sri, improved and conventional were studied. all activities, field operation and data in production methods and differents inputs rates were monitored an...

In the era of globalization, computer technology has an important role in assisting process work activities agencies and offices, both from government private institutions. The use equipment as a supporting device for data management processing is very appropriate with consideration any information that needed or office activities. purpose this program to facilitate incoming outgoing letters at...

regional input-output tables historical background goes back to 1950 when its idea was proposed by walter isard. in iran, regional accounts generation started in the fifth development plan before the islamic revolution, but these accounts have been generated only for some provinces. the generation and completion of these accounts and tables on the basis of surveying and mechanical methods or a ...

We address the problem of learning automatically to map heterogeneous semi-structured documents onto a mediated target XML schema. We adopt a machine learning approach where the mapping between input and target documents is learned from a training corpus of documents. We first introduce a general stochastic model of semi structured documents generation and transformation. This model relies on t...

In this paper the problem of input-output finite-time stabilization of linear time-varying systems is dealt with. The classical definition of input-output finite-time stability (IO-FTS) is extended to that one of structured IO-FTS, which allows to incorporate, in the definition of the stabilization problem, some amplitude constraints on the control input variables. A sufficient condition and a ...

Given a linear system Ax = b and some vector x̃, the backward error characterizes the smallest relative perturbation of the input data such that x̃ is a solution of the perturbed system. If the input matrix has some structure such as being symmetric or Toeplitz, perturbations of the input matrix may be restricted to perturbations within the same class of structured matrices. For normwise perturba...

This paper analyzes the use of structured radiology reports since 1997 at Midway Hospital Medical Center, which is a full-modality 150-bed community hospital located in Los Angeles, California. We describe the transition from a conventional transcription-based reporting system to one in which radiologists create reports for twelve radiology modalities directly through a structured reporting sys...