Paper: Automatically Producing Plot Unit Representations for Narrative Text

ACL ID D10-1008
Title Automatically Producing Plot Unit Representations for Narrative Text
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

In the 1980s, plot units were proposed as a conceptual knowledge structure for represent- ing and summarizing narrative stories. Our research explores whether current NLP tech- nology can be used to automatically produce plot unit representations for narrative text. We create a system called AESOP that exploits a variety of existing resources to identify af- fect states and applies “projection rules” to map the affect states onto the characters in a story. We also use corpus-based techniques to generate a new type of affect knowledge base: verbs that impart positive or negative states onto their patients (e.g., being eaten is an undesirable state, but being fed is a desir- able state). We harvest these “patient polar- ity verbs” from a Web corpus using two tech- niques: co-occurren...