Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings

Statistical Depth

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
Parker Seegmiller
Computer Science PhD Student, Dartmouth College

nlp @ dartmouth college