  Tracking developments in the highly dynamic data-technology landscape are
vital to keeping up with novel technologies and tools, in the various areas of
Artificial Intelligence (AI). However, It is difficult to keep track of all the
relevant technology keywords. In this paper, we propose a novel system that
addresses this problem. This tool is used to automatically detect the existence
of new technologies and tools in text, and extract terms used to describe these
new technologies. The extracted new terms can be logged as new AI technologies
as they are found on-the-fly in the web. It can be subsequently classified into
the relevant semantic labels and AI domains. Our proposed tool is based on a
two-stage cascading model -- the first stage classifies if the sentence
contains a technology term or not; and the second stage identifies the
technology keyword in the sentence. We obtain a competitive accuracy for both
tasks of sentence classification and text identification.
