Dynamic Word Embeddings via Skip-Gram Filtering

By Robert Bamler, Stephan Mandt. 2017

17 citations recorded by the source corpus.

Subfields: Natural Language Processing, Representation & Self-Supervised Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Susan Athey
2. Francisco J. R. Ruiz
3. David M. Blei
4. Guido W. Imbens
5. Mirella Lapata
6. Hao Wang
7. Brandon M Stewart
8. Yansong Feng

In Representation & Self-Supervised Learning

1. Francisco J. R. Ruiz
2. David M. Blei
3. Susan Athey
4. Guido W. Imbens

Citations in the corpus

• Machine Learning Methods That Economists Should Know About (2019, background): “…attempt to capture latent semantic structure in language; see [Mnih and Hinton, 2007, Mnih and Teh, 2012, Mikolov et al., 2013a,b,c, Mnih and Kavukcuoglu, 2013, Pennington et al., 2014, Levy and Goldberg, 2014, Vilnis and McCallum, 2015, Arora et al., 2016, Barkan, 2016, Bamler and Mandt, 2017].”
• SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements (2017, background): “…structure in language (Mnih and Hinton, 2007; Mnih and Teh, 2012; Mikolov et al., 2013b,a; Mikolov, Yih and Zweig, 2013; Mnih and Kavukcuoglu, 2013; Pennington, Socher and Manning, 2014; Levy and Goldberg, 2014; Vilnis and McCallum, 2015; Arora et al., 2016; Barkan, 2016; Bamler and Mandt, 2017).”