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Publications (75)

1InBrowser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context2008  Stephen Wan,Cecile L. Parisreading context, as defined in vectorspace. We use Singular Value Decomposition (SVD), the underlying method behind Latent Semantic...

2PartOfSpeech Induction From Scratch1993  Hinrich Schutzelarge vectors are timeconsuming. Therefore a singular value decomposition was performed on the matrix. Fifteen singular...

3SVD and Clustering for Unsupervised POS Taggingtagging. The algorithm uses reducedrank singular value decomposition followed by clustering to extract latent features...

4AMFM: A Semantic Framework for Translation Quality Assessment2011  Rafael E. Banchs,Haizhou Lition of texts (Salton et al., 1975) by using singular value decomposition: SVD (Golub and Kahan, 1965). According to...

5Latent Semantic Tensor Indexing for Communitybased Question AnsweringNthorder tensor can be decomposed through “N mode singular value decomposition (SVD)”, which is a an extension of SVD that expresses...

6DISSECT  DIStributional SEmantics Composition Toolkitselection, dimensionality reduction methods such as Singular Value Decomposition, etc. The goal is to eliminate the biases that...

7VSEM: An open library for visual semantics representation. Common dimensionality reduction methods are singular value decomposition (Manning et al., 2008), nonnegative matrix f...

8Discovering Sociolinguistic Associations with Structured Sparsityfound that approximation based on the truncated singular value decomposition provides an effective tradeoff of time for space...

9A Practical Solution to the Problem of Automatic PartofSpeech Induction from Text2005  Reinhard Rappthe dimensionality of a rectangular matrix is Singular Value Decomposition (SVD). It has the property that when reducing...

10SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts2005  Anagha Kulkarni,Ted Pedersenrepresents a context. We can (optionally) use Singular Value Decomposition (SVD) to reduce the dimensionality of this matrix...