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<Paper uid="P04-1072">
  <Title>Splitting Complex Temporal Questions for Question Answering systemsa0</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> This paper presents a new and intuitive method for answering complex temporal questions using an embedded current factual-based Q.A. system.</Paragraph>
    <Paragraph position="1"> The method proposed is based on a new procedure for the decomposition of temporal questions, where complex questions are divided into simpler ones by means of the detection of temporal signals. The TERSEO system, a temporal information extraction system applied to event ordering has been used to detect and resolve temporal expressions in questions and answers.</Paragraph>
    <Paragraph position="2"> Moreover, this work proposes a new multi-layered architecture that enables to solve complex questions by enhancing current Q.A. capabilities.</Paragraph>
    <Paragraph position="3"> The multi-layered approach can be applied to any kind of complex questions that allow question decomposition such as script questions, e.g., &amp;quot;How do I assemble a bicycle?&amp;quot;, or template-like questions, e.g., &amp;quot;Which are the main biographical data of Nelson Mandela?&amp;quot;.</Paragraph>
    <Paragraph position="4"> This paper has specifically focused on a process of decomposition of complex temporal questions and on its evaluation on a temporal question corpus. In the future, our work is directed to fine tune this system and increase its capabilities towards processing questions of higher complexity.</Paragraph>
  </Section>
class="xml-element"></Paper>