Van de Cruys, Tim (2011). Two multivariate generalizations of pointwise mutual information. In Proceedings of the Workshop on Distributional Semantics and Compositionality, pp. 16-20.Van de Cruys, T. (2011). Two multivariate generalizations of pointwise mutual infor- mation. In Proceedings of ...
Our method, following the paradigm of proper scoring rules, measures the pointwise mutual information (PMI) of the test dataset and the evaluated dataset. However, computing the PMI of two datasets is challenging. We introduce a novel PMI measuring method that greatly improves tractability within ...
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$w(EntryExtent) configure -validate key -vcmd { validateAlpha %P EntryExtent } # lay out the form pack $w(LabelTitle) -side top pack [frame .sp -bd 1 -height 2 -relief sunken] -pady 4 -side top -fill x pack $w(FrameMain) -side top -fill both -expand 1 # lay out the for...
Additional Information How to Cite Maz'ya, V. and Rossmann, J. (2005), Pointwise estimates for Green's kernel of a mixed boundary value problem to the Stokes system in a polyhedral cone. Math. Nachr., 278: 1766–1810. doi: 10.1002/mana.200410340 Author Information 1 University of Linkö...
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Since its introduction into the nlp community, pointwise mutual information has proven to be a useful association measure in numerous natural language processing applications such as collocation extraction and word space models. In its original form, it is restricted to the analysis of two-way co-...
Herein we present a novel use of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene associations with biological concepts as represented by Medical Subject Headings (MeSH terms) in PubMed. Resources that tag genes to articles were integrated, then cross-species ...
A global word vector training model based on pointwise mutual information was presented. The model used another correlation information, the ratio of the joint probability and the product of the marginal probability, to depict the relationship between words and avoid the shortcoming of conditional proba...
Second, in order to optimize the channel compressed pointwise convolution with the number of input channels more than the output, Ghost-PC adjusts the Ghost-PE block to make full use of the features generated by cheap convolution to enhance the feature channel information. Finally, we optimized ...