Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
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In this paper, we describe how quantifiers can be generated in a text generation system. By taking advantage of discourse and ontological information, quantified expressions can replace entities in a text, making the text more fluent and concise. In addition to avoiding ambiguities between distributive and collective readings in universal quantification generation, we will also show how different scope orderings between universal and existential quantifiers will result in different quantified expressions in our algorithm.