<?xml version="1.0" standalone="yes"?>
<Paper uid="W04-0818">
  <Title>The MITRE Logical Form Generation System</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> The logic form identification track of the 2004 Senseval evaluation requires its participants to produce a version of each input sentence with each input word in citation form, annotated with both a scopefree Davidsonian logic and lexical category information for major categories. The output ignores elements like determiners and negation, and features such as plurals and verb tenses.</Paragraph>
    <Paragraph position="1"> This evaluation is of interest to the MITRE Corporation because it has a long-standing interest in text processing and understanding, in all its various dimensions. In our current internally funded Reading Comprehension (RC) project, we focus on the detailed understanding of individual stories, using the ability to answer comprehension questions associated with these stories as our evaluation metric.</Paragraph>
    <Paragraph position="2"> At the moment, we are interested in getting a sense of how much inference is routinely needed in order to answer RC questions; so generation of sentence meanings is not currently our research focus. However, in the context of our exploration, we continue to maintain an automated system for producing sentence meanings from text.</Paragraph>
  </Section>
class="xml-element"></Paper>