• A
  • A
  • A
  • АБB
  • АБB
  • АБB
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта

Глава

Topic models can improve domain term extraction

P. 684-687.
Bolshakova E. I., Loukachevitch N. V., Nokel M.

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.

В книге

Под редакцией: P. Serdyukov, P. Braslavski, S. Kuznetsov et al. Vol. 7814. Springer, 2013.