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cs.CL2023
Evaluation of Word Embeddings for the Social Sciences
Ricardo Schiffers, Dagmar Kern, Daniel Hienert
Word embeddings are an essential instrument in many NLP tasks. Most available resources are trained on general language from Web corpora or Wikipedia dumps. However, word embedding…
cs.CL2015
Exploring semantically-related concepts from Wikipedia: the case of SeRE
Daniel Hienert, Dennis Wegener, Siegfried Schomisch
In this paper we present our web application SeRE designed to explore semantically related concepts. Wikipedia and DBpedia are rich data sources to extract related entities for a g…