Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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