4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CL2021
SWEAT: Scoring Polarization of Topics across Different Corpora
Federico Bianchi, Marco Marelli, Paolo Nicoli +1
Understanding differences of viewpoints across corpora is a fundamental task for computational social sciences. In this paper, we propose the Sliced Word Embedding Association Test…
cs.AI2020★ 4 cited
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora
Federico Bianchi, Valerio Di Carlo, Paolo Nicoli +1
Word2vec is one of the most used algorithms to generate word embeddings because of a good mix of efficiency, quality of the generated representations and cognitive grounding. Howev…