Semantic Clustering of Russian Web Search Results: Possibilities and Problems
Andrey Kutuzov · Communications in computer and information science · 2015
The present paper deals with word sense induction from lexical co-occurrence graphs. We construct such graphs on large Russian corpora and then apply the data to cluster the results of Mail.ru search according to meanings in the query. We compare different methods of performing such clustering and different source corpora. Models of applying distributional semantics to big linguistic data are described. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.