cr_glove_subset

A subset of a GloVe embeddings model trained on the top 5000 features
in the Congressional Record Record corpus covering the 111th - 114th Congresses,
and limited to speeches by Democrat and Republican representatives.

datasets

A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte'
embeddings approach developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses about covariate effects on embeddings using
the regression framework developed by Rodriguez et al. (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.

Pedro L. Rodriguez

conText

'a la Carte' on Text (ConText) Embedding Regression

Arthur Spirling

Brandon Stewart

Christopher Barrie

cr_glove_subset function

A matrix with 500 rows and 300 columns:<dl>
<dt>row</dt>
<dd>each row corresponds to a word</dd><dt>column</dt>
<dd>each column corresponds to a dimension in the embedding space</dd>...</dl>

Format

GloVe subset — cr_glove_subset

A matrix with 500 rows and 300 columns:<dl>
<dt>row</dt>
<dd>each row corresponds to a word</dd>

<dt>column</dt>
<dd>each column corresponds to a dimension in the embedding space</dd>

...

</dl>

cr_glove_subset: GloVe subset

Description

Usage

Arguments

Format