  Newspapers are a popular form of written discourse, read by many people,
thanks to the novelty of the information provided by the news content in it. A
headline is the most widely read part of any newspaper due to its appearance in
a bigger font and sometimes in colour print. In this paper, we suggest and
implement a method for computing inferences from English news headlines,
excluding the information from the context in which the headlines appear. This
method attempts to generate the possible assumptions a reader formulates in
mind upon reading a fresh headline. The generated inferences could be useful
for assessing the impact of the news headline on readers including children.
The understandability of the current state of social affairs depends greatly on
the assimilation of the headlines. As the inferences that are independent of
the context depend mainly on the syntax of the headline, dependency trees of
headlines are used in this approach, to find the syntactical structure of the
headlines and to compute inferences out of them.
