Who Cited It

A unified architecture for natural language processing

2008 · 5,207 citations · 47 from inside this corpus

Ronan Collobert, Jason Weston

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.

A unified architecture for natural language processing (2008)A unified architecture for na…Transductive Inference for Text Classification using Support Vector Machines (1999)Transductive Inference for Te…Phoneme recognition using time-delay neural networks (1989)Phoneme recognition using tim…The Proposition Bank: An Annotated Corpus of Semantic Roles (2005)The Proposition Bank: An Anno…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …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…DeepWalk (2014)DeepWalkRecursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Curriculum learning (2009)Curriculum learningDistributed Representations of Sentences and Documents (2014)Distributed Representations o…Learning Deep Architectures for AI (2009)Learning Deep Architectures f…Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode… (2018)An Empirical Evaluation of Ge…The Limitations of Deep Learning in Adversarial Settings (2016)The Limitations of Deep Learn…Knowledge Graph Embedding by Translating on Hyperplanes (2014)Knowledge Graph Embedding by …A Convolutional Neural Network for Modelling Sentences (2014)A Convolutional Neural Networ…Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…A survey of deep neural network architectures and their applications (2016)A survey of deep neural netwo…Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition (2011)Context-Dependent Pre-Trained…Understanding Machine Learning: From Theory To Algorithms (2015)Understanding Machine Learnin…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…From Frequency to Meaning: Vector Space Models of Semantics (2010)From Frequency to Meaning: Ve…Linguistic Regularities in Continuous Space Word Representations (2013)Linguistic Regularities in Co…Deep learning and its applications to machine health monitoring (2018)Deep learning and its applica…Unsupervised Visual Representation Learning by Context Prediction (2015)Unsupervised Visual Represent…LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency (2021)LoRA Fine-Tuning of a 3B Code…A Survey on Multi-Task Learning (2021)A Survey on Multi-Task Learni…On the Opportunities and Risks of Foundation Models (2021)Why Does Unsupervised Pre-training Help Deep Learning? (2010)Why Does Unsupervised Pre-tra…Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen… (2017)
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What this paper cites, inside the corpus

What cites it, inside the corpus

PaperYearCited
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
Glove: Global Vectors for Word Representation201434,067
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
Deep learning in neural networks: An overview201418,236
Distributed Representations of Words and Phrases and their Compositionality201318,054
Understanding the difficulty of training deep feedforward neural networks201012,673
Efficient Estimation of Word Representations in Vector Space201311,714
Enriching Word Vectors with Subword Information20179,900
DeepWalk20148,670
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
Curriculum learning20095,154
Distributed Representations of Sentences and Documents20145,121
Learning Deep Architectures for AI20095,077
Deep Learning in Medical Image Analysis20174,917
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Mode…20184,364
The Limitations of Deep Learning in Adversarial Settings20163,980
Knowledge Graph Embedding by Translating on Hyperplanes20143,838
A Convolutional Neural Network for Modelling Sentences20143,571
Learning Word Vectors for Sentiment Analysis20113,294
A survey of deep neural network architectures and their applications20163,285
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition20113,089
Understanding Machine Learning: From Theory To Algorithms20153,081
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
From Frequency to Meaning: Vector Space Models of Semantics20102,902
Linguistic Regularities in Continuous Space Word Representations20132,885
Deep learning and its applications to machine health monitoring20182,803
Unsupervised Visual Representation Learning by Context Prediction20152,699
LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency20212,531
A Survey on Multi-Task Learning20212,310
On the Opportunities and Risks of Foundation Models20212,265
Why Does Unsupervised Pre-training Help Deep Learning?20102,114
Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…20172,077

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Text Readability and SimplificationComputer Science

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  • supports2 author record(s) attached.
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