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The aim of the study was to explore the broad link between performance entities expressed by TS and NTS, using the correlation between both.
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In terms of comparability of environmental and social performance of entities (e.g., companies, municipalities, departments), standardized indicators are necessary.
The environmental factors of mounting site were applied to design the backsheet material and to improve the output performance of entity solar module.
Table 6 lists a breakdown of performance by entity category for the dictionary model.
Figure 3 shows the entity recognition performance for all entity mentions in a paper, i.e the ability of tagtog to identify the presence of a gene mention, either as a symbol or name.
So a high-performance named entity recognition system for chemical compound and drug names is necessary.
Results show that the proposed scheme effectively provides better performance than independent entities running simultaneously in the network.
Compared with NER tasks in the newswire domain (F-measure about 90%) [2], our reported performance on chemical entities was lower, indicating that CEM is more challenging and requires additional investigation and improvement.
The new approach is referred to as "DEA environmental assessment," and it can measure the performance of various entities that use inputs to produce not only desirable outputs but also undesirable outputs.
Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text.
False-negative findings can significantly impact performance of unique entities, but leave the performance of all mentions mostly unaffected if the unique false-negative findings represent a small fraction of the total number of mentions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com