1Text Summarization of Turkish Texts using Latent Semantic Analysisuse three main steps. These steps are as follows: 1. Input Matrix Creation: A matrix which represents the input text is...
2Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embeddingdiscarding more noisy dimensions in the data. Given our input matrix X ∈ Rm×n, SVD performs the following decomposition: X...
4Committee-based Decision Making in Probabiiistic Partial Parsingweighting function associated with model Mk transforms an input matrix given by MI~ to a weight matrix WaG- The majority flmction...