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<Paper uid="H01-1074">
  <Title>The Use of Dynamic Segment Scoring for Language-Independent Question Answeringa0</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1. INTRODUCTION
</SectionTitle>
    <Paragraph position="0"> Over the past decade, the TREC community has invested its efforts on and advanced technologies of automatic information retrieval systems. Recently, the same community decided to divide the traditional information retrieval task to several so called tracks: the cross-language information retrieval track, the filtering track, the interactive track, the question and answering track, the query track, the spoken document retrieval track, and the web track[6].</Paragraph>
    <Paragraph position="1"> The decision is mainly due to the mature technologies in the traditional information retrieval field and the desire to expand the technologies to additional areas of interest. The goal of the question and answering track is the development of systems that generate concise answers to user queries. This goal is similar in nature to the goal of a traditional information retrieval system where relevant  This work was funded by DARPA under Air Force Contract F19628-00-c-0002. Opinions, interpretations, conclusions, and recommendations are those of the authors and do not necessarily represent the views of the agency or the US Air Force.</Paragraph>
    <Paragraph position="2">  Daniel Pack is an associate professor of Electrical Engineering from the Air Force Academy on his sabbatical leave.</Paragraph>
    <Paragraph position="3"> .</Paragraph>
    <Paragraph position="4"> documents are extracted for user queries; users are then required to read through the selected documents to find answers. In a question answering system, it is the system's responsibility to find the answers to queries.</Paragraph>
    <Paragraph position="5">  In this paper, we present a Q/A system that combines (1) natural language processing techniques, (2) query understanding, (3) dynamic sliding window techniques, and (4) keyword distance proximity distribution matching techniques for a language-independent  at the front end and the back end of our system. Developing such systems is becoming increasingly important as the diverse communities across national boundaries are brought together through the internet. The effectiveness of the proposed system architecture is validated with experimental results.</Paragraph>
    <Paragraph position="6"> &amp;quot;I always knew they wanted,&amp;quot; he said. &amp;quot;They wanted something about Joe.&amp;quot;  One day, though, someone ran a different notion by DOM: A book about 1941. &lt;P&gt; If ever the major leagues had a magical, almost mythic year, it was 1941. There was Joe DiMaggio's 56-game hitting streak. There was Ted Williams' .406 batting average. There was the anticipated, but nonetheless gripping, death of Lou Gehrig. There was Mickey Owen's dropped third strike in the World Series.</Paragraph>
    <Paragraph position="8"/>
  </Section>
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