<?xml version="1.0" standalone="yes"?>
<Paper uid="H01-1074">
  <Title>The Use of Dynamic Segment Scoring for Language-Independent Question Answeringa0</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
4. CONCLUSION
</SectionTitle>
    <Paragraph position="0"> In this paper, we showed a novel language-independent question and answering system. The unique features of the system are the use of the POS tags to distinguish terms appearing in queries for differential weights, dynamic sliding windows that automatically adjust the optimal size of a candidate segment containing answers, and the proximity matching techniques that award similarities between query keyword distance distributions and the corresponding distributions in data segments for best fit, which is based on statistical distributions of search terms in the data set. The system also incorporates popular methods of categorizing queries to identify desired answers using concept tags and natural language processing techniques such as the preprocessing, stemming, and POS tagging, which also contributed to the high performance results reported.</Paragraph>
  </Section>
class="xml-element"></Paper>