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Publications (11)

1PartOfSpeech Induction From Scratch1993  Hinrich Schutzelarge vectors are timeconsuming. Therefore a singular value decomposition was performed on the matrix. Fifteen singular...

2Word Maturity: Computational Modeling of Word Knowledge2011  Kirill Kireyev,Thomas K Landauermeaning in a multidimensional vector space. The LSA vector representation is derived in an unsupervised manner, based on occurrence...

3Topic Modeling Based Classification of Clinical Reportswords/tokens (Deerwester et al., 1990) based on Singular Value Decomposition (SVD). One of the problems of LSA is that each...classification. In our approaches, we used topic vector representation as an alternative to BoW and not additional. This...

4Bridging Languages through Etymology: The case of cross language text categorization2013  Vivi Nastase,Carlo Strapparavaproduct of three matrices: D = V ΣUT by performing singular value decomposition (SVD). V would correspond roughly to a 〈word ×...

5Learning Word Vectors for Sentiment AnalysisBarzilay, 2007). This component of the model uses the vector representation of words to predict the sentiment annotations on contexts...

6Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors2013  Jackie Chi Kit Cheung,Gerald Pennidentity, tokens in DSHMM are also associated with a vector representation of their meaning in context according to a distributional...

7Guiding Statistical Word Alignment Models With Prior Knowledge2007  Yonggang Deng,Yuqing GaoLSA, we use the centroid of all source words as its vector representation in the LSAspace. The semantic constraints between...

8FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classificationby the specific weighting technique. to W Singular Value Decomposition (SVD), to decompose it into the product of three...a document in the test set, we first compute its vector representation in the semantic space LSA computed, then we compare...

9Towards OpenDomain Semantic Role Labelingvectors −→ h are available for the semantic heads h, a vector representation −−→ FEk for the role FEk can be obtained from the...

10Question Answering Using Enhanced Lexical Semantic Modelsgeneralized by a lowrank approximation derived by singularvalue decomposition (SVD) in the end. This design has an intriguing...2011). Each row vector of this matrix is the dense vector representation of the corresponding word in the vocabulary. Perhaps...