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Distributional structure
Z. Harris · 1954
Earlier work this paper cites.
Latent Dirichlet Allocation
D. Blei, A. Y. Ng, and M. I. Jordan · 2003
Earlier work this paper cites.

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Efficient estimation of word representations in vector space
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T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
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Distributed representations of sentences and documents
Q. V. Le and T. Mikolov · 2014
Later among the works it cites.

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Reading the bibliography…

2015

Dai, Andrew M., Olah, Christopher, Le, Quoc V.

Paragraph Vectors has been recently proposed as an unsupervised method for learning distributed representations for pieces of texts.

In their work, the authors showed that the method can learn an embedding of movie review texts which can be leveraged for sentiment analysis.
That proof of concept, while encouraging, was rather narrow.
Here we consider tasks other than sentiment analysis, provide a more thorough comparison of Paragraph Vectors to other document modelling algorithms such as Latent Dirichlet Allocation, and evaluate performance of the method as we vary the dimensionality of the learned representation.

Distributional structure
Z. Harris · 1954
Earlier work this paper cites.
Latent Dirichlet Allocation
D. Blei, A. Y. Ng, and M. I. Jordan · 2003
Earlier work this paper cites.

Visualizing high-dimensional data using t-SNE
L. J. P. van der Maaten and G. E. Hinton · 2008
Cited alongside, same era.
Efficient estimation of word representations in vector space
Original
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
Cited alongside, same era.

Distributed representations of sentences and documents
Q. V. Le and T. Mikolov · 2014
Later among the works it cites.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…