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<biblioentry xreflabel="Waldinger:2004" id="Waldinger:2004">
   <authorgroup>
       <author><firstname>Waldinger&#44;</firstname><surname>Richard</surname></author>
       <author><firstname>Appelt&#44;</firstname><othername role="mi">Douglas</othername><surname>E.</surname></author>
       <author><firstname>Fry&#44;</firstname><surname>John</surname></author>
       <author><firstname>Israel&#44;</firstname><othername role="mi">David</othername><surname>J.</surname></author>
       <author><firstname>Jarvis&#44;</firstname><surname>Peter</surname></author>
       <author><firstname>Martin&#44;</firstname><surname>David</surname></author>
       <author><firstname>Riehemann&#44;</firstname><surname>Susanne</surname></author>
       <author><firstname>Stickel&#44;</firstname><othername role="mi">MArk</othername><surname>E.</surname></author>
       <author><firstname>Tyson&#44;</firstname><surname>Mabry</surname></author>
       <author><firstname>Hobbs&#44;</firstname><surname>Jerry</surname></author>
       <author><firstname>Dungan&#44;</firstname><othername role="mi">Jennifer</othername><surname>L.</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Deductive Question Answering from Multiple Resources</citetitle>

   <publisher>
      <publishername>AAAI</publishername>
   </publisher>



   <pubdate>2004</pubdate>  
   <abstract>
      <para>Questions in natural language are answered by consulting multiple sources and inferring answers from information they provide. An automated deduction system&#44; equipped with an axiomatic application&#45;domain theory&#44; serves as the coordinator for the process. Sources include data bases&#44; Web pages&#44; programs&#44; and unstructured text. Answers may contain text or visualizations. Although the approach is domain&#45;independent&#44; many of our experiments have dealt with geographic questions.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Molla:IWCS4" id="Molla:IWCS4">
   <authorgroup>
       <author><firstname>Moll&#38;&#35;x00E1;&#44;</firstname><surname>Diego</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Ontologically Promiscuous Flat Logical Forms for NLP</citetitle>




   <artpagenums>249-265</artpagenums> 
   <pubdate>2001</pubdate>  

</biblioentry>
<biblioentry xreflabel="Molla:MMA2001" id="Molla:MMA2001">
   <authorgroup>
       <author><firstname>Moll&#38;&#35;x00E1;&#44;</firstname><surname>Diego</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Towards Incremental Semantic Annotation</citetitle>





   <pubdate>2001</pubdate>  

</biblioentry>
<biblioentry xreflabel="Katz:2000" id="Katz:2000">
   <authorgroup>
       <author><firstname>Katz&#44;</firstname><surname>Boris</surname></author>
       <author><firstname>Lin&#44;</firstname><surname>Jimmy</surname></author> 
   </authorgroup>
<citetitle pubwork="article">REXTOR: A System for Generating Relations from Natural Language</citetitle>





   <pubdate>2000</pubdate>  
   <abstract>
      <para>This paper argues that a finite&#45;state language model with a ternary expression representation is currently the most practical and suitable bridge between natural language processing and information retrieval...
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Kay:1996" id="Kay:1996">
   <authorgroup>
       <author><firstname>Kay&#44;</firstname><surname>Martin</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Chart Generation</citetitle>




   <artpagenums>200-204</artpagenums> 
   <pubdate>1996</pubdate>  
   <abstract>
      <para>Charts constitute a natural uniform architecture for parsing and generation provided string position is replaced by a notion more appropriate to logical forms and that measures are taken to curtail generation paths containing semantically incomplete phrases.
      </para>
   </abstract>
</biblioentry>
</bibliography>

