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<?xml version="1.0" standalone="yes"?> <Paper uid="C02-1064"> <Title>Text Generation from Keywords Kiyotaka Uchimoto + Satoshi Sekine ++</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> We describe a method for generating sentences from &quot;keywords&quot; or &quot;headwords&quot;. This method consists of two main parts, candidate-text construction and evaluation. The construction part generates text sentences in the form of dependency trees by using complementary information to replace information that is missing because of a &quot;knowledge gap&quot; and other missing function words to generate natural text sentences based on a particular monolingual corpus. The evaluation part consists of a model for generating an appropriate text when given keywords. This model considers not only word n-gram information, but also dependency information between words. Furthermore, it considers both string information and morphological information.</Paragraph> </Section> class="xml-element"></Paper>