'Document collections' diaporamas de présentation

Learning Structure in Unstructured Document Bases

Learning Structure in Unstructured Document Bases. David Cohn Burning Glass Technologies and CMU Robotics Institute www.cs.cmu.edu/~cohn Joint work with: Adam Berger, Rich Caruana, Huan Chang, Dayne Frietag, Thomas Hofmann, Andrew McCallum, Vibhu Mittal and Greg Schohn.

603 views • 60 slides

Information Retrieval and Question-Answering

Information Retrieval and Question-Answering. Julia Hirschberg CS 4705. Today. Information Retrieval Review of Methods TREC IR Tracks Question Answering Factoid Q/A A Sample System: UT Dallas (Harabagiu) A simpler alternative from MSR. Information Retrieval. Basic assumption

669 views • 49 slides

6 th Grade Social Studies: A Primer

6 th Grade Social Studies: A Primer. Welcome Back! November 18, 2014. Agenda. Benefits of Discussion. Engagement Democratizing the classroom Citizenship (not idiocy) Clear articulation of complicated ideas Listening carefully and intentionally Better content knowledge

540 views • 28 slides

Semantic Indexing with Typed Terms using Rapid Annotation

Semantic Indexing with Typed Terms using Rapid Annotation. 16th of August 2005 TKE-05 Workshop on Semantic Indexing, Copenhagen. Chris Biemann University of Leipzig. Outline. The benefits of typed terms and relations Alleviating the ontology bottleneck Rapid annotation

364 views • 25 slides

3-D Data

3-D Data. cs5984: Information Visualization Chris North. Review. Visualizing document collections:. Multi-D 1D 2D Hierarchies/Trees Networks/Graphs Document collections 3D. Design Principles Empirical Evaluation Java Development Visual Overviews Multiple Views Peripheral Views.

371 views • 25 slides

Networks

Networks. cs5984: Information Visualization Chris North. Fun from InfoVis 2001. Visualizing trees as trees vanWijk. Multi-D 1D 2D Hierarchies/Trees Networks/Graphs Document collections 3D. Design Principles Empirical Evaluation Java Development Visual Overviews

433 views • 21 slides

Multi-Dimensional Data Visualization

358 views • 12 slides

Scatter/Gather : A Cluster Based Approach to Large Document Collections

Scatter/Gather : A Cluster Based Approach to Large Document Collections. Alyssa Katz LIS 551 March 23, 2003. Introduction. Alternate uses for document clustering Give document clustering a second chance!. Old Approach. Compare Document Clustering with Vector Space Models

371 views • 11 slides