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The text mining systems were selected based on performance, scientific advancements, innovation and significant impact, including their utility and usability as evaluated by biocurators.
Mining systems were also developed to simulate mining conditions.
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Surface coal mining technology, practice and development of mining systems are introduced since the founding of China.
It can be concluded that the stability of pillars and mine openings in auger mining systems is much higher than that in CHM and an auger mining system is suitable for such as very weak/poor strata conditions.
From the results of a series of laboratory tests and numerical analyses, it can be concluded that the stability of pillars and mine openings in auger mining systems is much higher than that in CHM and an auger mining system is suitable for such as very weak/poor strata conditions.
Major issues of highwall mining systems are less coal recovery due to leaving coal as the pillars and the instability of openings and highwalls due to the pillar and roof failures.
The lack of attention to nominalizations in most biologically oriented text mining systems is an important finding for two reasons.
The comparison between the proposed approach and current, publicly available text mining systems is difficult since precision and recall values of these systems include losses caused by the NER step.
Text mining systems are designed to extract information from text in a domain-oriented manner.
Case studies demonstrating the use of the high-throughput data mining system are presented.
In this study, a mining system is proposed for finding protein protein interaction literatures from the databases on the Internet.
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