File Information
File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/concl/06/w06-0705_concl.xml
Size: 942 bytes
Last Modified: 2025-10-06 13:55:32
<?xml version="1.0" standalone="yes"?> <Paper uid="W06-0705"> <Title>Using Scenario Knowledge in Automatic Question Answering</Title> <Section position="10" start_page="38" end_page="38" type="concl"> <SectionTitle> 7 Conclusions </SectionTitle> <Paragraph position="0"> This paper introduced a new form of textual entailment, known as contextual entailment, which can be used to recognize scenario-relevant information in both the questions users ask and in the answers that automatic Q/A systems return. In addition to outlining a framework for recognizing contextual entailment in texts, we showed that contextual entailment information can signi cantly enhance the quality of answers returned by a Q/A system in response to users' questions about a particular scenario. In our evaluations, we found that using contextual entailment allowed Q/A systems to improve their accuracy by more than 10% overall.</Paragraph> </Section> class="xml-element"></Paper>