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<?xml version="1.0" standalone="yes"?> <Paper uid="W04-1705"> <Title>Indexing Student Essays Paragraphs using LSA over an Integrated Ontological Space</Title> <Section position="5" start_page="1" end_page="1" type="concl"> <SectionTitle> 5 Conclusion and Future Work </SectionTitle> <Paragraph position="0"> This paper introduces the idea of &quot;explicit content&quot; and its use in essay evaluation. The main contribution of the paper is then the idea that ontologies and First Order Logic (FOL) can be used together with LSA to locate segments relevant to a question in a student essay.</Paragraph> <Paragraph position="1"> Our main interest is to provide help to tutors in grading and to students for feedback purposes. In fact, even outside the realms of grading, we believe that it will help annotate and rank paragraphs more relevant to queries. In our proposal, we went about doing this supplementing the widely-used LSA method with added semantics (ontologies) and First Order Logic (FOL). Our approach therefore attempts to bridge the gap between statistical and semantic approaches.</Paragraph> <Paragraph position="2"> There is clearly a lot more work needed to make this technology work well enough for large-scale deployment. Further work may include a visualisation service that also provides a visualisation of annotation of segments relevant to the current question types around the lines of the work described in (Moreale and Vargas-Vera, 2003; Moreale and Vargas-Vera, 2004).</Paragraph> </Section> class="xml-element"></Paper>