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Automatic Extraction Of Narrative Structure From Long Form Text, Joshua Daniel Eisenberg
Automatic Extraction Of Narrative Structure From Long Form Text, Joshua Daniel Eisenberg
FIU Electronic Theses and Dissertations
Automatic understanding of stories is a long-time goal of artificial intelligence and natural language processing research communities. Stories literally explain the human experience. Understanding our stories promotes the understanding of both individuals and groups of people; various cultures, societies, families, organizations, governments, and corporations, to name a few. People use stories to share information. Stories are told –by narrators– in linguistic bundles of words called narratives.
My work has given computers awareness of narrative structure. Specifically, where are the boundaries of a narrative in a text. This is the task of determining where a narrative begins and ends, a …