Paper: Using Sketches To Estimate Associations

ACL ID H05-1089
Title Using Sketches To Estimate Associations
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

We should not have to look at the en- tire corpus (e.g. , the Web) to know if two words are associated or not.1 A powerful sampling technique called Sketches was originally introduced to remove duplicate Web pages. We generalize sketches to estimate contingency tables and associa- tions, using a maximum likelihood esti- mator to find the most likely contingency table given the sample, the margins (doc- ument frequencies) and the size of the collection. Not unsurprisingly, computa- tional work and statistical accuracy (vari- ance or errors) depend on sampling rate, as will be shown both theoretically and empirically. Sampling methods become more and more important with larger and larger collections. At Web scale, sampling rates as low as 10−4 may suffice.