Natural disasters—including hurricanes, earthquakes, volcanic eruptions, and floods—
caused over 220,000 deaths worldwide in the first half of 2010 and wreaked havoc on homes,
buildings, and the environment. To withstand and recover from natural and human-caused
disasters, it is essential that citizens and communities work together to anticipate threats,
limit their effects, and rapidly restore functionality after a crisi
This manual provides an introduction to Rational Rose. Rational Rose is the visual
modeling tool that is part of a comprehensive set of tools that embody software
engineering best practices and span the entire software development life cycle.
Rational Rose helps improve communication both within teams and across team
boundaries, reducing development time and improving software quality.
This guide is intended for all users of Rational Rose, including administrators,
analysts, architects, and developers....
Now in its tenth year, the Internet Crime Complaint Center (IC3) has become a vital resource
for victims of online crime and for law enforcement investigating and prosecuting offenders.
In 2010, IC3 received the second-highest number of complaints since its inception. IC3 also
reached a major milestone this year when it received its two-millionth complaint. On average,
IC3 receives and processes 25,000 complaints per month.
IC3 is more than a repository for victim complaints.
In popular usage the term ‘profession’ has a wide variety of connotations,
spanning from a highly skilled and specialized job to any fulltime work from
which income is derived (Freidson 1986). The boundaries of interpretation are
narrower in sociology, but sociologists have also still to reach agreement about
the meaning of the term ‘profession’ and the related question of which
occupations are to count as professions.
The Chinese comma signals the boundary of discourse units and also anchors discourse relations between adjacent text spans. In this work, we propose a discourse structureoriented classiﬁcation of the comma that can be automatically extracted from the Chinese Treebank based on syntactic patterns. We then experimented with two supervised learning methods that automatically disambiguate the Chinese comma based on this classiﬁcation.