Index of papers in Proc. ACL 2011 that mention
  • data sparsity
Pantel, Patrick and Fuxman, Ariel
Abstract
Smoothing techniques are proposed to address the inherent data sparsity in such graphs, including interpolation using a query synonymy model.
Association Model
Smoothing techniques can be useful to alleviate data sparsity problems common in statistical models.
Experimental Results
We expect our smoothing models to have much more impact on M SE (i.e., the tail) than on M SEW since head queries do not suffer from data sparsity .
data sparsity is mentioned in 3 sentences in this paper.
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