Sentence examples for global inferences from inspiring English sources

As in PISA, the specific purpose of reading comprehension ranges from understanding specific local details to making complex global inferences.

Each was followed by 12 comprehension questions: ten literal and inferential (T/F), and two (multiple-choice) about global inferences.

Next, a multi-tier architecture is built and one node in each cluster is chosen as an anchorage node for global inferences.

This approach also suffers from the fact that there is insufficient information to connect local inferences into global inferences and so it constructs a large number of false positives by joining local effects to make full-length transcripts.

Therefore, while these studies may present a biased perspective and global inferences may be limited, we cautiously question the strength of association of evidence of classic ATN in septic AKI and draw attention to the urgent need for a broader understanding to the renal histopathologic correlation in septic AKI.

Such integration is based on 'certainty factors', and is implemented with the computer program BMP90 with a global inference engine.

Examinees' performance on these questions was analyzed to determine whether: 1) four proficiency groups (advanced, high, intermediate, and low) differed in their performance on questions targeting local (factual/detail) and global (inference-propositional and inference-pragmatic) listening comprehension, and 2) within-group differences existed in examinees' performance on the same questions.

The current relation extraction model is trained on the relation types (except the 'kill' relation) and data from the paper Roth and Yih, Global inference for entity and relation identification via a linear programming formulation, 2007, except instead of using the gold NER tags, we used the NER tags predicted by Stanford NER classifier to improve generalization.

The second approach is simpler but cruder in the sense that it does not explicitly model interpatch couplings and hence avoids combined global inference across all patches.

For each node in the network, they define a potential function representing how the global inference is coherent with the local measurement on that node.

In this method, the processor optimally estimates a parameter or state of a system based on its own local measurements and transmits its local estimate to the fusion center where the received information is suitably associated to yield the global inference.