Who Cited It

Linguistic Regularities in Continuous Space Word Representations

2013 · 2,885 citations · 13 from inside this corpus

Tomáš Mikolov, Wen-tau Yih, Geoffrey Zweig low

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.

Linguistic Regularities in Continuous Space Word Representations (2013)Linguistic Regularities in Co…Reducing the Dimensionality of Data with Neural Networks (2006)Reducing the Dimensionality o…Indexing by latent semantic analysis (1990)Indexing by latent semantic a…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Building a Large Annotated Corpus of English: The Penn Treebank (1993)Building a Large Annotated Co…Recurrent neural network based language model (2010)Recurrent neural network base…A unified architecture for natural language processing (2008)A unified architecture for na…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Distributed representations, simple recurrent networks, and grammatical structure (1991)Distributed representations, …Glove: Global Vectors for Word Representation (2014)Glove: Global Vectors for Wor…Distributed Representations of Words and Phrases and their Compositionality (2013)Distributed Representations o…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Learning Entity and Relation Embeddings for Knowledge Graph Completion (2015)Learning Entity and Relation …Knowledge Graph Embedding: A Survey of Approaches and Applications (2017)Knowledge Graph Embedding: A …Relational inductive biases, deep learning, and graph networks (2018)Relational inductive biases, …Recurrent Convolutional Neural Networks for Text Classification (2015)Recurrent Convolutional Neura…Neural Word Embedding as Implicit Matrix Factorization (2014)Neural Word Embedding as Impl…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…From Word Embeddings To Document Distances (2015)From Word Embeddings To Docum…Exploiting Similarities among Languages for Machine Translation (2013)Exploiting Similarities among…Don't count, predict! A systematic comparison of context-counting vs. context-predicting … (2014)Don't count, predict! A syste…
21 of 21 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
Reducing the Dimensionality of Data with Neural Networks200621,247
Indexing by latent semantic analysis199012,850
Efficient Estimation of Word Representations in Vector Space201311,714
Building a Large Annotated Corpus of English: The Penn Treebank19937,538
Recurrent neural network based language model20105,432
A unified architecture for natural language processing20085,207
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Distributed representations, simple recurrent networks, and grammatical structure19911,383

What cites it, inside the corpus

PaperYearCited
Glove: Global Vectors for Word Representation201434,067
Distributed Representations of Words and Phrases and their Compositionality201318,054
Efficient Estimation of Word Representations in Vector Space201311,714
Distributed Representations of Sentences and Documents20145,121
Learning Entity and Relation Embeddings for Knowledge Graph Completion20153,677
Knowledge Graph Embedding: A Survey of Approaches and Applications20172,703
Relational inductive biases, deep learning, and graph networks20182,406
Recurrent Convolutional Neural Networks for Text Classification20152,314
Neural Word Embedding as Implicit Matrix Factorization20141,591
Pre-trained models for natural language processing: A survey20201,521
From Word Embeddings To Document Distances20151,520
Exploiting Similarities among Languages for Machine Translation20131,442
Don't count, predict! A systematic comparison of context-counting vs. context-predicting …20141,388

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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complete

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

  • supports3 author record(s) attached.
  • supports22 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 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…