We describe methods for constructing and using content graphs for query-by-example speaker recognition tasks within a large speech corpus. This goal is achieved as follows: First, we describe an algorithm for constructing speaker content graphs, where nodes represent speech signals and edges represent speaker similarity. Speech signal similarity can be based on any standard vector-based speaker...

Social network influence dissemination focuses on employing a small number of seed sets to generate the most significant possible in social networks and considers forwarding be only technique information transmission, ignoring all other ways. Users, for example, can post message via this mode distribution (called para), which is difficult trace, posing danger privacy leakage. This research trie...

Deep Web is autonomous, independently updating, and its data are always in a state of frequent update. However, the user always hopes to obtain the newest content in the current Web database. Different from previous research, this paper wants to emphasize the importance of updating frequency in the study of Deep Web information acquisition. And, an approach on incremental information acquisitio...

The unprecedented growth of the Internet has given rise to the Dark Web, the problematic facet of the Web associated with cybercrime, hate, and extremism. Despite the need for tools to collect and analyze Dark Web forums, the covert nature of this part of the Internet makes traditional Web crawling techniques insufficient for capturing such content. In this study, we propose a novel crawling sy...

The complex sentences of newswire reports contain floating content units that appear to be opportunistically placed where the form of the surrounding text allows. We present a corpus analysis that identified precise semantic and syntactic constraints on where and how such information is realized. The result is a set of revision tools that form the rule base for a report generation system, allow...