Team > Kristian J. Hammond

Kristian J. Hammond

Prior to joining the faculty at Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content and context-driven information systems. Kris currently sits on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). He received his PhD from Yale.

Papers

  • Congressional Close Up: Automatically exploring anomalous voting behavior in the US Congress
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  • Social media-driven news personalization
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  • Information Finding with Robust Entity Detection: The Case of an Online News Reader
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  • Picasso, Pato and Perro: Reconciling Procedure with Creativity
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  • Reasoning as search: Supporting reasoning with distributed memory
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  • Creating Conversations: An Automated Dialog System
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  • Tell Me More, not just "More of the Same"
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  • StatsMonkey: A Data-Driven Sports Narrative Writer.
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  • Finding New Information Via Robust Entity Detection
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  • Shout Out: Integrating News and Reader Comments
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  • Synergy Between Automatic Content Generation and Social Media
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  • Machine-Generated Multimedia Content
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  • MakeMyPage: Social Media Meets Automatic Content Generation
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  • From Generating to Mining: Automatically Scripting Conversations Using Existing Online Sources
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  • News at Seven: The Future of the Future
  • Pivot: Automatically Offering Information and Services to Real-World Shoppers
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  • TagAssist: Automatic Tag Suggestion for Blog Posts
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  • Reasoning Through Search: A Novel Approach to Sentiment Classification
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  • Learning to Gesture: Applying Appropriate Animations to Spoken Text
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  • Domain Specific Affective Classification of Documents
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  • Buzz: Telling Compelling Stories
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  • Context Transformations for Just-in-time Retrieval: Adapting the Watson System to User Needs
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  • Believable Performance Agents for Interactive Conversations
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  • Creating Polite Agents: 5 Heuristics for User Experience Design
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  • Computational Support for Compelling Story Telling
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  • MusicStory: A Personalized Music Video Creator
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  • Affective Behaviors for Theatrical Agents
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  • Network arts: Exposing Cultural Reality
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  • Imagination Environment: Using the web as a source of popular culture
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  • Low-Fidelity Location Based Information Systems
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  • Between Now and the Semantic Web
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  • The Association Engine: A Free Associative Digital Improviser
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  • Using Web Frequency Within Multimedia Exhibitions
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  • Keyless Media Delivery and Security: Location-aware computing through Interaction Design
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  • Beyond Broadcast
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  • Towards a Non-Linear Narrative Construction
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  • Context-Aware Keyless Computing
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  • Beyond Broadcast: A Demo
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  • Flytrap: Intelligent Group Music Recommendation
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  • Clustering for Opportunistic Communication
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  • Automatically Indexing Documents: Content vs. Reference
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  • Java Settlers: A Research Environment for Studying Multi-Agent Negotiation
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  • Supporting Online Resource Discovery in the Context of Ongoing Tasks with Proactive Assistants
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  • Information Access in Context
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  • XLibris: An Automated Library Research Assistant
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  • Using citations to facilitate precise indexing and automatic index creation in collections of research papers
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  • User Interactions with Everyday Applications as Context for Just-in-time Information Access
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  • Mining Navigation History for Recommendation
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  • Guiding People to Information: Providing an Interface to a Digital Library Using Reference as a Basis for Indexing
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  • Beyond Similarity
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  • Improving Human Computer Interaction in a Classroom Environment using Computer Vision
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  • Jabberwocky: You don't have to be a rocket scientist to change slides for a hydrogen combustion lecture
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  • Facilitating Opportunistic Communication by Tracking the Documents People Use
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  • Selecting Task-Relevant Sources for Just-in-Time Retrieval
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  • Q&A: A system for the Capture, Organization and Reuse of Expertise
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  • Constructing indices from citations in collections of research papers
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  • Beyond “Next slide, please”: The use of content and speech in multi-modal control
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  • Learning for Question Answering and Text Classification: Integrating Knowledge-Based and Statistical Techniques
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