| W14-3356 | tweets with translations by using a | max entropy | classifier trained on the crowdsourced |
| S14-2131 | tags were provided by the NLTK 's | max entropy | tagger . The 28 POS categories |
| W04-0833 | systems for the words on which | Max Entropy | has performed better than Naive |
| W10-4102 | For our experiment , we choose a | Max Entropy | package , Mallet1 . In this paper |
| W15-3124 | learning , such as Naive Bayes , | Max Entropy | , Support Vector Machine in Pang |
| W04-0833 | considering context words as features in | Max Entropy | learner , and , establishing |
| W14-3356 | 2005 ) . In our work , we use a | max entropy | classifier model , similar to |
| S15-2033 | . 3.2.2 Syntactic Features The | Max Entropy | models of OpenNLP were used for |
| W15-3123 | algorithms , such as Naïve Bayes , | Max Entropy | , Boosted Trees and Random Forest |
| W04-0833 | Baseline ; Bys = Naive Bayes ; Ent = | Max Entropy | ) ) . 3 . Prep Bef , Prep Aft |
