Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
نویسندگان
چکیده
منابع مشابه
Feature-Frequency-Adaptive On-line Training for Fast and Accurate Natural Language Processing
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the training speed via sacrificing accuracy or to improve the accuracy via sacrificing speed. Nevertheless, it is nontrivial to improve the training speed and the accuracy at the same time, which is the ...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2014
ISSN: 0891-2017,1530-9312
DOI: 10.1162/coli_a_00193