<?xml version="1.0" standalone="yes"?>
<Paper uid="A00-1039">
  <Title>Unsupervised Discovery of Scenario-Level Patterns for Information Extraction</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base---a time-consuming and expensive process. We have implemented a system for finding patterns automatically from un-annotated text. Starting with a small initial set of seed patterns proposed by the user, the system applies an incremental discovery procedure to identify new patterns.</Paragraph>
    <Paragraph position="1"> We present experiments with evaluations which show that the resulting patterns exhibit high precision and recall.</Paragraph>
  </Section>
class="xml-element"></Paper>