ЯММ языковая модель
method
ID: rnnlanguagemodel
Related Papers
What do RNN Language Models Learn about Filler–Gap Dependencies?
AbstractRNN language models have achieved state-of-the-art perplexity results and have proven useful in a suite of NLP tasks, but it is as yet unclear what syntactic generalizations they learn. Here …...
Scaffolded input promotes atomic organization in the recurrent neural network language model
AbstractThe recurrent neural network (RNN) language model is a powerful tool for learning arbitrary sequential dependencies in language data. Despite its enormous success in representing lexical sequences, little is known …...