Clustering experiments with the Astro benchmarking data set with semantic document embeddings – off-the-shelf vs. custom embeddings created from citations, text, and both

Abstract: What accounts for the observed better quality of publication-level topical science clustering solutions which use only citation relations as input data, compared to those using sophisticated semantic similarity data derived from both citations and textual terms? A survey of empirical work relevant to the concept of unconscientious referencing practices indicates that purely citation-based methods should be affected by significant ‘citation noise’, unlike text-based methods. This study continues work with the A… Show more