Abstract Max Droog Hayes March 19 2018

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Automatic summarization is dominated by approaches which focus on the selection and concatenation of material in a text. What can be achieved by such approaches is intrinsically limited and far below what can be achieved by human summarizers. There is evidence that successfully creating a rich representation of text, including its narrative structure, would help to create more human-like summaries. In this talk I will discuss my position that new and fundamentally different approaches to automatic summarization are needed in order to make meaningful progress in the field. I will discuss my ongoing work on a cognitively inspired approach to summarization. In particular, I will discuss my work on Russian Folktales, posing the detection of the narrative structure of a text as a constraint satisfaction problem to allow for different degrees of summarization, as well as the production of summaries less dependent on the surface text of a document.