The Geometry of Culture: Analyzing Meaning through Word Embeddings

25 March 2018

Papers citing "The Geometry of Culture: Analyzing Meaning through Word Embeddings"

17 / 17 papers shown

Title
Linear Representations of Political Perspective Emerge in Large Language Models Junsol Kim James Evans Aaron Schein 75 2 0 03 Mar 2025
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models Patrick Y. Wu Jonathan Nagler Joshua A. Tucker Solomon Messing LRM 49 2 0 28 Jan 2025
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word Embeddings Francisco Valentini Germán Rosati D. Slezak Edgar Altszyler FaML 6 8 0 02 Jan 2023
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics Francisco Valentini Juan Cruz Sosa D. Slezak Edgar Altszyler 16 3 0 15 Nov 2022
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization Jesse Hoey G. Chan 14 1 0 02 May 2022
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency Austin Van Loon Salvatore Giorgi Robb Willer J. Eichstaedt 25 10 0 20 Jan 2022
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender Sky CH-Wang David Jurgens 24 7 0 22 Sep 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 28 19 0 22 Jul 2021
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach Francisco Valentini Germán Rosati Damián E. Blasi D. Slezak Edgar Altszyler 14 3 0 13 Apr 2021
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers Sandeep Soni Lauren F. Klein Jacob Eisenstein MILM GNN AI4CE 31 21 0 12 Mar 2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings Bhavya Ghai Md. Naimul Hoque Klaus Mueller 13 26 0 05 Mar 2021
Low-skilled Occupations Face the Highest Upskilling Pressure Di Tong Lingfei Wu James Allen Evans 16 0 0 27 Jan 2021
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 13 13 0 05 Nov 2020
Cultural Cartography with Word Embeddings Dustin S. Stoltz Marshall A. Taylor 21 38 0 09 Jul 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 35 46 0 24 Mar 2020
What are the biases in my word embedding? Nathaniel Swinger Maria De-Arteaga IV NeilThomasHeffernan Mark D. M. Leiserson Adam Tauman Kalai 11 104 0 20 Dec 2018