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<?xml version="1.0" standalone="yes"?> <Paper uid="A88-1029"> <Title>TIC : PARSING INTERESTING TEXT.</Title> <Section position="8" start_page="217" end_page="217" type="concl"> <SectionTitle> 4. CONCLUSION </SectionTitle> <Paragraph position="0"> The automatic production of traffic broadcasts, given the type of free text we have described in this paper, poses many difficult problems. In many ways our overall approach to these problems follows in a long tradition of semantically driven systems, but the processing style of our Message Analyser is much closer to that used in contemporary syntax-driven systems. We make explicit use of rules in a unification-based grammatical formalism that express both semantic and syntactic information declaratively, and our interesting-corner parser provides a search of the input messages that is both thorough and efficient.</Paragraph> <Paragraph position="1"> We believe that complete understanding of free text messages is well beyond the state of the art in computational linguistics, but that we can nevertheless develop the TICC's Natural Language Summariser to have sufficient partial understanding to be practically useful.</Paragraph> </Section> class="xml-element"></Paper>