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<Paper uid="W05-0602">
  <Title>A Statistical Semantic Parser that Integrates Syntax and Semantics</Title>
  <Section position="4" start_page="0" end_page="9" type="intro">
    <SectionTitle>
2 Target MRL's
</SectionTitle>
    <Paragraph position="0"> We used two MRLs in our experiments: CLANG and GEOQUERY. They capture the meaning of linguistic utterances in their domain in a formal language.</Paragraph>
    <Paragraph position="1">  tional AI research initiative using robotic soccer as its primary domain. In the Coach Competition, teams of agents compete on a simulated soccer field and receive advice from a team coach in a formal language called CLANG. In CLANG, tactics and behaviors are expressed in terms of if-then rules. As described in (et al., 2003), its grammar consists of 37 non-terminal symbols and 133 productions.</Paragraph>
    <Paragraph position="2"> Below is a sample rule with its English gloss: ((bpos (penalty-area our)) (do (player-except our {4}) (pos (half our)))) &amp;quot;If the ball is in our penalty area, all our players except player 4 should stay in our half.&amp;quot;</Paragraph>
    <Section position="1" start_page="9" end_page="9" type="sub_section">
      <SectionTitle>
2.2 GEOQUERY: a DB Query Language
</SectionTitle>
      <Paragraph position="0"> GEOQUERY is a logical query language for a small database of U.S. geography containing about 800 facts. This domain was originally chosen to test corpus-based semantic parsing due to the availability of a hand-built natural-language interface, GEOBASE, supplied with Turbo Prolog 2.0 (Borland International, 1988). The GEOQUERY language consists of Prolog queries augmented with several meta-predicates (Zelle and Mooney, 1996). Below is a sample query with its English gloss: answer(A,count(B,(city(B),loc(B,C), const(C,countryid(usa))),A)) &amp;quot;How many cities are there in the US?&amp;quot;</Paragraph>
    </Section>
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