Abstract
During the course of a coherent conversation or discourse, the participants their attention on some subset of their knowledge. As the discourse goes on, this focused subset may change — it may grow to include more knowledge, narrow down to include just a subset of what it originally contained, or shift (either temporarily or permanently) to a new area of the participants’ knowledge base. In this work we investigate the nature of this focusing during a discourse and its effect on a natural language generation system. Our research examines how the focused knowledge is tracked during human discourse and how changes in the focused set are marked by the human conversational partners. We hypothesize that there are several different kinds of focusing going on in discourse, and attempt to provide a unified account which can handle each. This resulting knowledge will be crucial for a generation system in deciding what to say next and in deciding how to appropriately mark unexpected changes in focus.
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McCoy, K.F., Cheng, J. (1991). Focus of attention: Constraining what can be said next. In: Paris, C.L., Swartout, W.R., Mann, W.C. (eds) Natural Language Generation in Artificial Intelligence and Computational Linguistics. The Kluwer International Series in Engineering and Computer Science, vol 119. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5945-7_4
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DOI: https://doi.org/10.1007/978-1-4757-5945-7_4
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