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<Paper uid="C94-2152">
  <Title>Hypothesis Scoring over Theta Grids Information in Parsing Chinese Sentences with Serial Verb Constructions</Title>
  <Section position="6" start_page="946" end_page="946" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we propose a systematic method for analyzing SVCs. The method is based on the information offered by theta grids. Many possible correlation relations may exist between verbs, we use a numerical scoring fimetion to determine the most preferred one. To utilize the S-fimction defined, wc design a S-model, which consists of four modules: a combination generator, a combination filter, a score evaluator, and a slruclure selcclor, to realize il. For the examples we have lestcd so far, taken from the legal documents \[Taiwang0al rFaiwang0b\], our mechanism always produces the correct reading.</Paragraph>
    <Paragraph position="1"> Li and Thompson 119811 classified SVCs into four types: (1) two or more separate events (2) a VP or a clause plays the subject or dirccl object of another verb (3) pivotal construction (4) descriptive clauses. We usually split lype (2) into two sub-types: (2)-1 scntential subjects, and (2)-2 scntcntial objects. Most work for handling SVCs are based on this classification. In our desigi~ of Sfunction, information about this classification is not used. However, in our testing sentences, it lnrlls otlt 1hal these five lypes are actually covered by the S-model which selects a preferred slructure based on only scoring functions. For example, $5 in table 1 belongs to type (1), $9, type (2)-1, $6, type (2)-2, $2, type (3), and SI0, type (4). The rcason why S-model may cover the classification is due to the rich information cacoded in thela grids. As an example, consider the sentence &amp;quot;~$ ~-~ ~ I','\] ;~v .&amp; ,,. (The dcfcndant pclitioncd to interrogate the witness.) By Li and Thompson's classification, it belongs to the &amp;quot;scntential objecls&amp;quot; type. If we can classil~C/ the senlence into the correct type, the structure &amp;quot; A~:f~petitioeO &gt;Jtg I:/\] (interrogfge)&amp;quot; will be determined. This is the idea used in most previous work.</Paragraph>
    <Paragraph position="2"> However, in S-model, we achieve the same result without relying on the classification. In S-model, sincc &amp;quot;~ a~&amp;quot; needs a &amp;quot;Pe&amp;quot; which implies that it expects an &amp;quot;event&amp;quot;, i.e., a &amp;quot;sentential object&amp;quot; to play the thela role, alter calculating S-flmclion, the stntcture where &amp;quot; ~,E I':1 &amp;quot; is subordinate to &amp;quot;~: 2~&amp;quot; naturally gets the highest score alld lhlls becomes II1c &amp;quot;winner&amp;quot;. As the previous cxalnple in section 4.2, lbr the ambiguous sentence S-model also yields more than one highesl score. We can conclude thai S-model could be a very general and sound mechanism 1o handle SVC sentences.</Paragraph>
  </Section>
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