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How to build a text knowledge representation model, which carries rich knowledge and has a flexible reasoning ability as well as can be automatically constructed with a low computational complexity, is a fundamental challenge for reasoning-based knowledge services, especially with the rapid growth of web resources. However, current text knowledge representation models either lose much knowledge [e...
The measurement of textual complexity is a fundamental issue on e-learning, online question-answering, web search and browsing, etc. But it is still a challenge because the measuring process includes a series of cognitive mechanisms. According to the properties of cognitive principles in human text reading process, the different derivatives of textual keywords are given. Based on the categorical invariance...
The essential abilities of text knowledge representation, such as automatic construction, carrying abundant semantics and flexible reasoning, should be held due to the rapid growth of web resources and the requirements of the reasoning-based web services. However, current text knowledge representation models either lose many textual semantics or cannot be constructed automatically. To solve the above...
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