Table of Contents
Applications of Approximate Word Matching in Information Retrieval
Introduction
Introduction (cont.)
What are we trying to do?
What is the problem?
Our solution?
Approach
A running example
Data Set
Edit Distance
Raw affiliation strings for the University of Virginia
Clustering Alternatives
Difficulties with Traditional Edit Distance
Alternative distance measures
Approximate Word Matching
Approximate Word Matching vs. String Matching
Coincidences
Evaluation Measures
Clustering Experiments Using e(u,v) and w(u,v)
Finer Control
Clustering Experiments using a Jaccard Coefficient
Journal Title Clustering Experiments
Journal Title Clustering Experiments
PPT Slide
Conclusions
Acknowledgements
PPT Slide
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Author: Computer Science Department
Home Page: http://www.cs.virginia.edu/~cyberia/presentations.html
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