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pro vyhledávání: '"Sennhauser, Luzi"'
Autor:
Sennhauser, Luzi, Berwick, Robert C.
Publikováno v:
Proceedings of the EMNLP Workshop BlackboxNLP (2018) 115-124
While long short-term memory (LSTM) neural net architectures are designed to capture sequence information, human language is generally composed of hierarchical structures. This raises the question as to whether LSTMs can learn hierarchical structures
Externí odkaz:
http://arxiv.org/abs/1811.02611
