Extensions of recurrent neural network language model

E906312

natural language processing paper research paper scientific publication

"Extensions of Recurrent Neural Network Language Model" is a research work by Tomas Mikolov that advances neural language modeling by improving and extending recurrent neural network architectures for better performance in natural language processing tasks.

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Extensions of recurrent neural network language model canonical	1

Statements (38)

Predicate	Object
instanceOf	natural language processing paper ⓘ research paper ⓘ scientific publication ⓘ
affiliationOfAuthor	Tomas Mikolov NERFINISHED ⓘ
aimsTo	enhance performance on NLP tasks ⓘ improve generalization of language models ⓘ reduce perplexity on language modeling benchmarks ⓘ
author	Tomas Mikolov NERFINISHED ⓘ
contributesTo	advances in neural language modeling ⓘ improved performance of language models ⓘ
field	computational linguistics ⓘ machine learning ⓘ natural language processing ⓘ
focusesOn	better performance on natural language processing tasks ⓘ extensions of recurrent neural network language models ⓘ improving recurrent neural network architectures for language modeling ⓘ
hasAuthor	Tomas Mikolov NERFINISHED ⓘ
hasCitationType	computer science paper ⓘ
hasKeyword	RNN NERFINISHED ⓘ language modeling ⓘ machine learning ⓘ natural language processing ⓘ neural language model ⓘ recurrent neural network language model ⓘ
hasMainConcept	language model ⓘ recurrent neural network ⓘ sequence modeling ⓘ
language	English ⓘ
proposes	extensions to standard recurrent neural network language models ⓘ
relatedTo	Recurrent Neural Network based Language Model ⓘ deep learning for NLP ⓘ neural probabilistic language model ⓘ statistical language modeling ⓘ
researchArea	language modeling ⓘ neural language models ⓘ recurrent neural networks ⓘ
usesMethod	neural network language modeling ⓘ recurrent neural network ⓘ

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Full triples — surface form annotated when it differs from this entity's canonical label.

Tomas Mikolov → notableWork → Extensions of recurrent neural network language model ⓘ