Who Cited It

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

2018 · IEEE Computational Intelligence Magazine · 2,907 citations · 0 from inside this corpus

Tom Young low, Devamanyu Hazarika, Soujanya Poria, Erik Cambria

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.

Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Long Short-Term Memory (1997)Long Short-Term MemoryExploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Latent dirichlet allocation (2003)Latent dirichlet allocationLearning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…BLEU (2001)BLEUEfficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Auto-Encoding Variational Bayes (2013)Auto-Encoding Variational Bay…Neural Machine Translation by Jointly Learning to Align and Translate (2014)Neural Machine Translation by…Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Sequence to Sequence Learning with Neural Networks (2014)Sequence to Sequence Learning…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Enriching Word Vectors with Subword Information (2017)Enriching Word Vectors with S…Speech recognition with deep recurrent neural networks (2013)Speech recognition with deep …Simple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…Recurrent neural network based language model (2010)Recurrent neural network base…A unified architecture for natural language processing (2008)A unified architecture for na…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Neural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…Natural Language Processing (almost) from Scratch (2011)A Convolutional Neural Network for Modelling Sentences (2014)A Convolutional Neural Networ…Bidirectional LSTM-CRF Models for Sequence Tagging (2015)Bidirectional LSTM-CRF Models…Statistical phrase-based translation (2003)Statistical phrase-based tran…From Frequency to Meaning: Vector Space Models of Semantics (2010)A neural probabilistic language model (2003)A neural probabilistic langua…Phoneme recognition using time-delay neural networks (1989)Phoneme recognition using tim…Learning to forget: continual prediction with LSTM (1999)Learning to forget: continual…Attention-based LSTM for Aspect-level Sentiment Classification (2016)Attention-based LSTM for Aspe…Convolutional Neural Networks for Speech Recognition (2014)Convolutional Neural Networks…Seeing stars (2005)Seeing starsA Diversity-Promoting Objective Function for Neural Conversation Models (2016)A Diversity-Promoting Objecti…
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
Glove: Global Vectors for Word Representation201434,067
Latent dirichlet allocation200327,078
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…201425,048
BLEU200121,963
Efficient Estimation of Word Representations in Vector Space201318,186
Distributed Representations of Words and Phrases and their Compositionality201318,054
Learning Internal Representations by Error Propagation198516,273
Auto-Encoding Variational Bayes201315,583
Neural Machine Translation by Jointly Learning to Align and Translate201414,615
Convolutional Neural Networks for Sentence Classification201413,987
Sequence to Sequence Learning with Neural Networks201413,351
Efficient Estimation of Word Representations in Vector Space201311,714
Enriching Word Vectors with Subword Information20179,900
Speech recognition with deep recurrent neural networks20138,916
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
Recurrent neural network based language model20105,432
A unified architecture for natural language processing20085,207
Natural Language Processing (almost) from Scratch20115,174
Distributed Representations of Sentences and Documents20145,121
Neural Architectures for Named Entity Recognition20164,482
Natural Language Processing (almost) from Scratch20113,991
A Convolutional Neural Network for Modelling Sentences20143,571
Bidirectional LSTM-CRF Models for Sequence Tagging20153,287
Statistical phrase-based translation20033,278
From Frequency to Meaning: Vector Space Models of Semantics20102,902
A neural probabilistic language model20032,675
Phoneme recognition using time-delay neural networks19892,650
Learning to forget: continual prediction with LSTM19992,427
Attention-based LSTM for Aspect-level Sentiment Classification20162,380
Convolutional Neural Networks for Speech Recognition20142,304
Seeing stars20052,164
A Diversity-Promoting Objective Function for Neural Conversation Models20162,061

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Text and Document Classification TechnologiesComputer Science

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