Open AccessIncrementally Learning the Hierarchical Softmax Function for Neural Language Models
Author(s) -
Hao Peng,
Jianxin Li,
Yangqiu Song,
YaoPeng Liu
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10994
Subject(s) - softmax function , computer science , artificial intelligence , word (group theory) , function (biology) , dependency grammar , similarity (geometry) , tree (set theory) , artificial neural network , speedup , parsing , node (physics) , correctness , natural language processing , machine learning , algorithm , mathematics , mathematical analysis , geometry , structural engineering , evolutionary biology , engineering , image (mathematics) , biology , operating system
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