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Download Title - MIT Computer Science and Artificial Intelligence Laboratory
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Collecting Grist for the Analogical Mill Patrick H. Winston Ford Professor of Artificial Intelligence and Computer Science 17 Dec 2007 AFOSR MURI Meeting 1 Cultural Prediction & Blunder Stopping • Stories capture cultural beliefs & values • • Folktales, Myths, Morality Tales, Religious Texts, Urban Legends Analogical Framework • • Predict role-models; individual & group behavior across cultures from stories Story Database • Automatic NLP A bottleneck Textual Materials Structured Representations Experimenter 17 Dec 2007 AFOSR MURI Meeting 2 The Story Workbench • Modular Workflow • Easily Extendible 1. User enters Natural Language • Cross-Platform (99% pure Java) • Open Source • Large, dedicated User-base 2. Workbench makes its best guess • Commercial-Quality 4. User enters corrections or adds detail 3. Problems are highlighted 17 Dec 2007 AFOSR MURI Meeting 3 A Rich Suite of Representations Listening on the Radio to: Where we are going • Context (last game of the World Series) • Location (pitcher is on the mound, baseman and crowd are in front of the pitcher) • Events (and their order) (The look, the windup, then the pitch) • Causality (pitcher’s pitch causes the ball to fly forward) • Discourse Classical pitch (pitcher is rumored to have taken steroids, he’s quoted as denying it) • Emotions (to) (The pitcher is calm, the crowd is going wild) pitcher batter ball 17 Dec 2007 • Motivations (The pitcher wants to win the game, wants to strike out this batter) AFOSR MURI Meeting 4 Accomplishments to Date • Implemented Story Workbench foundation • • Syntax-level NLP representations & parsers Facility for user correction • Interfaced successfully with Forbus Group • Ability to assign CYC propositions to text (semantic interpretation) • Started beta testing • • 17 Dec 2007 Word Sense Disambiguation as a benchmark semantic annotation task Annotation of Discourse structure by Gibson & Kraemer at MIT BCS AFOSR MURI Meeting 5 Activities in the Near-term • Implement next layers of representation and parsers • • • • • Entities Events Discourse Relations Mental States and Motivations Moral of the Story • Collaborate with Medin at Northwestern to infer beliefs from stories and predict Menominee and Itza behavior 17 Dec 2007 AFOSR MURI Meeting 6
