<?xml version="1.0" standalone="yes"?>
<Paper uid="W02-1303">
  <Title>WHY NLP SHOULD MOVE INTO IAS</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> With new applications, NLP sees new challenges and has to develop additional functionalities. For a few decades, it was driven predominantly, if not exclusively, by MT. This application, while emphasizing certain functionalities, has a limited use for a reasoning functionality. Increasingly, the current applications, such as data mining and question answering bring reasoning to the front of NLP.</Paragraph>
    <Paragraph position="1"> Applications come, for the most part, from real life, and in real life, computer systems keep getting attacked by hackers and industrial or political adversaries and need to be protected with the help of automatic systems. Information security provides this protection by preventing unauthorized use and detecting intrusions.</Paragraph>
    <Paragraph position="2"> Information assurance guarantees the authenticity of transmitted and stored information. In the last five years, since the inception of CERIAS with the help of a massive grant from the Eli Lilly Foundation, two of the co-authors have led a pioneering effort in exploring the possibility of applying the methods and resources of NLP to IAS. Another co-author has led a decade-long effort in developing the resources of ontological semantics and testing them in various implementations of NLP applications. This paper is the result of all these efforts as well as of the excellent work of the participating and actively contributing graduate and undergraduate research assistants.</Paragraph>
  </Section>
class="xml-element"></Paper>