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Regular version of the site

Book chapter

Topic Models Can Improve Domain Term Extraction

P. 684-687.
Elena Bolshakova, Natalia Loukachevitch, Nokel M.

Abstract. The paper describes the results of an experimental study of
topic models applied to the task of single-word term extraction. The
experiments encompass several probabilistic and non-probabilistic topic
models and demonstrate that topic information improves the quality of
term extraction, as well as NMF with KL-divergence minimization is the
best among the models under study.






In book

Edited by: P. Serdyukov, P. Braslavski, S. Kuznetsov et al. Vol. 7814. Springer, 2013.