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) tools:::Rd_expr_doi("10.48550/arXiv.1805.05388") and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)tools:::Rd_expr_doi("10.1017/S0003055422001228"). New version of the package applies a new estimator to measure the distance between word embeddings as described in Green et al. (2025) tools:::Rd_expr_doi("10.1017/pan.2024.22").
Maintainer: Sofia Avila sofiaavila@princeton.edu (ORCID)
Authors:
Pedro L. Rodriguez pedro.rodriguezsosa@gmail.com (ORCID) [copyright holder]
Arthur Spirling as9934@nyu.edu (ORCID)
Brandon Stewart bms4@princeton.edu (ORCID)
Other contributors:
Christopher Barrie christopher.barrie@ed.ac.uk (ORCID) [contributor]
Useful links: