Who Cited It

Distributed Representations of Words and Phrases and their Compositionality

2013 · arXiv (Cornell University) · 18,054 citations · 52 from inside this corpus

Tomáš Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, Jeff Dean

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.

Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Learning representations by back-propagating errors (1986)Learning representations by b…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …A unified architecture for natural language processing (2008)A unified architecture for na…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…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Extensions of recurrent neural network language model (2011)Extensions of recurrent neura…Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (2011)Domain Adaptation for Large-S…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…Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…"Why Should I Trust You?" (2016)"Why Should I Trust You?"Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Enriching Word Vectors with Subword Information (2017)Enriching Word Vectors with S…DeepWalk (2014)DeepWalkPeeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018)Peeking Inside the Black-Box:…Modeling Relational Data with Graph Convolutional Networks (2018)Modeling Relational Data with…Translating Embeddings for Modeling Multi-relational Data (2013)Translating Embeddings for Mo…Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Hierarchical Attention Networks for Document Classification (2016)Hierarchical Attention Networ…LINE (2015)LINENeural Architectures for Named Entity Recognition (2016)Neural Architectures for Name…ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations (2019)ALBERT: A Lite BERT for Self-…Knowledge Graph Embedding by Translating on Hyperplanes (2014)Knowledge Graph Embedding by …Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…Learning Entity and Relation Embeddings for Knowledge Graph Completion (2015)Learning Entity and Relation …Unsupervised Feature Learning via Non-parametric Instance Discrimination (2018)Unsupervised Feature Learning…Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla… (2014)Learning Phrase Representatio…Character-level Convolutional Networks for Text Classification (2015)Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)Knowledge Graph Embedding: A …Unsupervised Visual Representation Learning by Context Prediction (2015)Unsupervised Visual Represent…SimCSE: Simple Contrastive Learning of Sentence Embeddings (2021)SimCSE: Simple Contrastive Le…End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF (2016)End-to-end Sequence Labeling …Attention-based LSTM for Aspect-level Sentiment Classification (2016)Attention-based LSTM for Aspe…
36 of 44 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
Learning representations by back-propagating errors198631,688
Efficient Estimation of Word Representations in Vector Space201318,186
A unified architecture for natural language processing20085,207
From Frequency to Meaning: Vector Space Models of Semantics20102,902
Linguistic Regularities in Continuous Space Word Representations20132,885
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Extensions of recurrent neural network language model20111,603
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562

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
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Transla…201425,048
"Why Should I Trust You?"201616,210
Convolutional Neural Networks for Sentence Classification201413,987
Enriching Word Vectors with Subword Information20179,900
DeepWalk20148,670
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)20186,166
Modeling Relational Data with Graph Convolutional Networks20185,233
Translating Embeddings for Modeling Multi-relational Data20135,188
Distributed Representations of Sentences and Documents20145,121
Hierarchical Attention Networks for Document Classification20164,871
LINE20154,752
Neural Architectures for Named Entity Recognition20164,482
ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations20194,076
Knowledge Graph Embedding by Translating on Hyperplanes20143,838
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
Learning Entity and Relation Embeddings for Knowledge Graph Completion20153,677
Unsupervised Feature Learning via Non-parametric Instance Discrimination20183,640
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Transla…20143,518
Character-level Convolutional Networks for Text Classification20153,280
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Knowledge Graph Embedding: A Survey of Approaches and Applications20172,703
Unsupervised Visual Representation Learning by Context Prediction20152,699
SimCSE: Simple Contrastive Learning of Sentence Embeddings20212,645
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF20162,595
Attention-based LSTM for Aspect-level Sentiment Classification20162,380

Links

DOI · Open access copy · OpenAlex record

Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Advanced Text Analysis TechniquesComputer Science

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complete

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

  • supports5 author record(s) attached.
  • supports19 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

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