2 papers
cs.CL2024
Estimating Text Similarity based on Semantic Concept Embeddings
Tim vor der Brück, Marc Pouly
Due to their ease of use and high accuracy, Word2Vec (W2V) word embeddings enjoy great success in the semantic representation of words, sentences, and whole documents as well as fo…
cs.LG2016
Complex Decomposition of the Negative Distance kernel
Tim vor der Brück, Steffen Eger, Alexander Mehler
A Support Vector Machine (SVM) has become a very popular machine learning method for text classification. One reason for this relates to the range of existing kernels which allow f…