Who Cited It

LSTM neural networks for language modeling

2012 · 1,996 citations · 6 from inside this corpus

Martin Sundermeyer, Ralf Schlüter, Hermann Ney

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

LSTM neural networks for language modeling (2012)LSTM neural networks for lang…Long Short-Term Memory (1997)Long Short-Term MemoryLearning representations by back-propagating errors (1986)Learning representations by b…Neural networks for pattern recognition (1994)Neural networks for pattern r…Neural Networks for Pattern Recognition (1995)Neural Networks for Pattern R…Learning long-term dependencies with gradient descent is difficult (1994)Learning long-term dependenci…Framewise phoneme classification with bidirectional LSTM and other neural network archite… (2005)Framewise phoneme classificat…Recurrent neural network based language model (2010)Recurrent neural network base…Learning to forget: continual prediction with LSTM (1999)Learning to forget: continual…Extensions of recurrent neural network language model (2011)Extensions of recurrent neura…Improved backing-off for M-gram language modeling (2002)Improved backing-off for M-gr…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network (2020)Fundamentals of Recurrent Neu…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Long short-term memory recurrent neural network architectures for large scale acoustic mo… (2014)Long short-term memory recurr…Recurrent Neural Network Regularization (2014)Recurrent Neural Network Regu…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Learning representations by back-propagating errors198631,688
Neural networks for pattern recognition199418,720
Neural Networks for Pattern Recognition199512,273
Learning long-term dependencies with gradient descent is difficult19948,610
Framewise phoneme classification with bidirectional LSTM and other neural network archite…20055,619
Recurrent neural network based language model20105,432
Learning to forget: continual prediction with LSTM19992,427
Extensions of recurrent neural network language model20111,603
Improved backing-off for M-gram language modeling20021,500

What cites it, inside the corpus

PaperYearCited
Sequence to Sequence Learning with Neural Networks201413,351
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network20205,639
Sequence to Sequence Learning with Neural Networks20143,514
Long short-term memory recurrent neural network architectures for large scale acoustic mo…20142,986
Recurrent Neural Network Regularization20142,289
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444

Links

DOI · Open access copy · OpenAlex record

Topics

Speech Recognition and SynthesisComputer Science
Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports22 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…