Who Cited It

Word Representations: A Simple and General Method for Semi-Supervised Learning

2010 · 1,941 citations · 24 from inside this corpus

Joseph Turian low, Lev-Arie Ratinov low, Yoshua Bengio

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.

Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Latent dirichlet allocation (2003)Latent dirichlet allocationA unified architecture for natural language processing (2008)A unified architecture for na…Curriculum learning (2009)Curriculum learningAn introduction to latent semantic analysis (1998)An introduction to latent sem…Software Framework for Topic Modelling with Large Corpora (2010)Software Framework for Topic …From Frequency to Meaning: Vector Space Models of Semantics (2010)From Frequency to Meaning: Ve…Class-based n -gram models of natural language (1992)Class-based n -gram models of…Learning and development in neural networks: the importance of starting small (1993)Learning and development in n…Design challenges and misconceptions in named entity recognition (2009)Design challenges and misconc…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…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 …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)Natural Language Processing (…A Convolutional Neural Network for Modelling Sentences (2014)A Convolutional Neural Networ…Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…Linguistic Regularities in Continuous Space Word Representations (2013)Linguistic Regularities in Co…Recurrent Convolutional Neural Networks for Text Classification (2015)Recurrent Convolutional Neura…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification (2016)Attention-Based Bidirectional…Deep Learning: Methods and Applications (2014)Deep Learning: Methods and Ap…Deep Contextualized Word Representations (2018)Deep Contextualized Word Repr…Reasoning With Neural Tensor Networks for Knowledge Base Completion (2013)Reasoning With Neural Tensor …Neural Word Embedding as Implicit Matrix Factorization (2014)Neural Word Embedding as Impl…From Word Embeddings To Document Distances (2015)Exploiting Similarities among Languages for Machine Translation (2013)Exploiting Similarities among…ERNIE: Enhanced Language Representation with Informative Entities (2019)ERNIE: Enhanced Language Repr…Relation Classification via Convolutional Deep Neural Network (2014)Relation Classification via C…Don't count, predict! A systematic comparison of context-counting vs. context-predicting … (2014)Don't count, predict! A syste…
33 of 33 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Latent dirichlet allocation200327,078
A unified architecture for natural language processing20085,207
Curriculum learning20095,154
An introduction to latent semantic analysis19984,895
Software Framework for Topic Modelling with Large Corpora20103,809
From Frequency to Meaning: Vector Space Models of Semantics20102,902
Class-based n -gram models of natural language19922,894
Learning and development in neural networks: the importance of starting small19932,029
Design challenges and misconceptions in named entity recognition20091,491

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
Distributed Representations of Words and Phrases and their Compositionality201318,054
Efficient Estimation of Word Representations in Vector Space201311,714
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
Learning Word Vectors for Sentiment Analysis20113,294
Linguistic Regularities in Continuous Space Word Representations20132,885
Recurrent Convolutional Neural Networks for Text Classification20152,314
On the Opportunities and Risks of Foundation Models20212,265
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification20162,062
Deep Learning: Methods and Applications20141,801
Deep Contextualized Word Representations20181,783
Reasoning With Neural Tensor Networks for Knowledge Base Completion20131,665
Neural Word Embedding as Implicit Matrix Factorization20141,591
From Word Embeddings To Document Distances20151,520
Exploiting Similarities among Languages for Machine Translation20131,442
ERNIE: Enhanced Language Representation with Informative Entities20191,435
Relation Classification via Convolutional Deep Neural Network20141,412
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
Advanced Text Analysis TechniquesComputer Science

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complete

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  • supports3 author record(s) attached.
  • supports47 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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sha256 930f5bc64fea8a60…