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Cognitive scientists believe that humans memorize and understand the real world through "event". A large number of narrative class texts contain various events and people can extract important events from the texts to support various event-based information processing. In this paper, we firstly research event annotation and build the Chinese Emergency Corpus. Then, we consider the event...
Multilevel halftoning algorithms are becoming increasingly important as the capabilities of image output devices improve. The traditional approach to multilevel halftoning is hampered by the appearance of contouring in the vicinity of native tones of the output device. To overcome this limitation, we propose a novel framework based on maintaining a consistent periodic, clustered-dot halftone texture...
Event similarity computation in text plays a vital role in the research of event ontology and construction, reduction as well as expansion of event networks. Furthermore, it's the precondition for application of event-based knowledge system. Existing event similarity computation methods are merely suitable for event ontology. In this paper, a new method for event similarity computation in texts is...
Topic detection and tracking (TDT) is a hot issue in text processing, which allows people to efficiently access interesting information they need from large amounts of narrative reports, and obtain the cause of a certain event and its subsequent events. In this paper, event network instead of vector space model (VSM) is used to represent the contents of texts. Firstly, event networks are constructed...
Online human resources management system for wood industry is an interactive information system of job applicants in the industry of nondestructive evaluation. It aims to build an online virtual job market in which each enterprise can publish job invitations on line while the job applicants can submit their resumes according to their own interests and intentions. This system is extensive used because...
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