Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings
Parker Seegmiller, Sarah Masud Preum
December 2023
Abstract
A statistical tool for measuring and comparing distributions of transformer-based text embeddings.
Publication
The 2023 Conference on Empirical Methods in Natural Language Processing
![Parker Seegmiller](/authors/admin/avatar_hu729cf7ff6b7a6305955f6d94b614e0d0_507063_270x270_fill_q75_lanczos_center.jpeg)
Innovation Fellow, PhD Candidate @ Dartmouth CS | Applied Science Intern @ Amazon
nlp @ dartmouth college