Team > Larry Birnbaum

Larry Birnbaum

Interests: natural language processing, case-based reasoning, machine learning, human-computer interaction, educational software, computer vision

Larry Birnbaum received his PhD in computer science from Yale University in 1986, and joined the Northwestern faculty in 1989. His research in artificial intelligence and computer science has encompassed natural language processing, case-based reasoning, machine learning, human-computer interaction, educational software, and computer vision. Birnbaum has authored or coauthored more than eighty articles. He was the program cochair of the 1991 International Machine Learning Workshop and has been a member of the program committee for numerous other conferences and workshops.

Papers

  • AttitudeBuzz: Using Social Media Data to Localize Complex Attitudes
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  • The News Context Project
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  • Using explicit linguistic expressions of preference in social media to predict voting behavior
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  • Finding the local angle in national news
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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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  • 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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  • Synergy Between Automatic Content Generation and Social Media
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  • Rich Interfaces for Reading News on the Web
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  • Spectrum: Retrieving Different Points of View from the Blogosphere
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  • MakeMyPage: Social Media Meets Automatic Content Generation
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  • Modeling Multiple-event Situations Across News Articles
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  • LocalSavvy: Aggregating Local Points of View about News Issues
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  • What Do They Think? Aggregating Local Views about News Events and Topics
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  • Categorizing Blogger's Interests Based on Short Snippets of Blog Posts
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  • 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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  • Compare&Contrast: Using the Web to Discover Comparable Cases for News Stories
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  • Measuring Semantic Similarity between Named Entities by Searching the Web Directory
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  • Learning to Gesture: Applying Appropriate Animations to Spoken Text
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  • Using Explicit Semantic Models to Track Situations across News Articles
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  • Context Transformations for Just-in-time Retrieval: Adapting the Watson System to User Needs
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  • Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis.
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  • Low-Fidelity Location Based Information Systems
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  • Beyond Broadcast
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  • Beyond Broadcast: A Demo
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  • Information Access in Context
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  • XLibris: An Automated Library Research Assistant
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  • Beyond Similarity
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