Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes

22 November 2017

Dan Jurafsky

Papers citing "Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes"

50 / 308 papers shown

Title
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning Mihaela Găman Sebastian Cojocariu Radu Tudor Ionescu 59 4 0 18 Feb 2021
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation Eva Vanmassenhove D. Shterionov M. Gwilliam 57 101 1 30 Jan 2021
Censorship of Online Encyclopedias: Implications for NLP Models Eddie Yang Margaret E. Roberts 43 16 0 22 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 157 152 0 01 Jan 2021
Towards Neural Programming Interfaces Zachary Brown Nathaniel R. Robinson David Wingate Nancy Fulda AI4CE 116 5 0 10 Dec 2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 131 530 0 09 Dec 2020
Unsupervised embedding of trajectories captures the latent structure of scientific migration Dakota Murray Jisung Yoon Sadamori Kojaku Rodrigo Costas Woo-Sung Jung Stavsa Milojević Y. Ahn 62 11 0 04 Dec 2020
Towards Fairness in Classifying Medical Conversations into SOAP Sections Elisa Ferracane Sandeep Konam FaML 23 5 0 02 Dec 2020
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis Michael A. Lepori 54 13 0 24 Nov 2020
Argument from Old Man's View: Assessing Social Bias in Argumentation Maximilian Spliethover Henning Wachsmuth 54 20 0 24 Nov 2020
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set Rupak Sarkar Ashiqur R. KhudaBukhsh 39 18 0 20 Nov 2020
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research Lucy Havens Melissa Mhairi Terras Benjamin Bach Beatrice Alex 87 22 0 11 Nov 2020
Intentonomy: a Dataset and Study towards Human Intent Understanding Menglin Jia Zuxuan Wu A. Reiter Claire Cardie Serge J. Belongie Ser-Nam Lim 43 29 0 11 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 20 16 0 05 Nov 2020
Semantic coordinates analysis reveals language changes in the AI field Zining Zhu Yang Xu Frank Rudzicz 53 0 0 01 Nov 2020
Evaluating Bias In Dutch Word Embeddings Rodrigo Alejandro Chávez Mulsa Gerasimos Spanakis 66 20 0 31 Oct 2020
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings Thalea Schlender Gerasimos Spanakis 23 3 0 30 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases Ryan Steed Aylin Caliskan SSL 102 162 0 28 Oct 2020
Discovering and Interpreting Biased Concepts in Online Communities Xavier Ferrer-Aran Tom van Nuenen Natalia Criado Jose Such 36 2 0 27 Oct 2020
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings Vaibhav Kumar Tenzin Singhay Bhotia Vaibhav Kumar FaML 35 2 0 25 Oct 2020
The Short Anthropological Guide to the Study of Ethical AI Alexandrine Royer SyDa 18 0 0 07 Oct 2020
Characterising Bias in Compressed Models Sara Hooker Nyalleng Moorosi Gregory Clark Samy Bengio Emily L. Denton 79 185 0 06 Oct 2020
UnQovering Stereotyping Biases via Underspecified Questions Tao Li Tushar Khot Daniel Khashabi Ashish Sabharwal Vivek Srikumar 75 138 0 06 Oct 2020
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation Ashiqur R. KhudaBukhsh Rupak Sarkar M. Kamlet Tom Michael Mitchell 40 51 0 05 Oct 2020
Quantifying social organization and political polarization in online platforms Isaac Waller Ashton Anderson 73 140 0 01 Oct 2020
$Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings$ Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings Vincent D. Warmerdam Thomas Kober Rachael Tatman 19 6 0 04 Sep 2020
Discovering and Categorising Language Biases in Reddit Xavier Ferrer Aran Tom van Nuenen Jose Such Natalia Criado 32 49 0 06 Aug 2020
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification Mihaela Guaman Radu Tudor Ionescu 72 13 0 30 Jul 2020
Cultural Cartography with Word Embeddings Dustin S. Stoltz Marshall A. Taylor 46 39 0 09 Jul 2020
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases W. Guo Aylin Caliskan 57 245 0 06 Jun 2020
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries Autumn Toney Aylin Caliskan 73 23 0 06 Jun 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 159 1,257 0 28 May 2020
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling Thomas Davidson Debasmita Bhattacharya 51 13 0 26 May 2020
Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey Ammar Rashed Mucahid Kutlu Kareem Darwish Tamer Elsayed Cansin Bayrak 69 53 0 19 May 2020
The presence of occupational structure in online texts based on word embedding NLP models Zoltán Kmetty Júlia Koltai T. Rudas 20 1 0 18 May 2020
Mitigating Gender Bias in Machine Learning Data Sets Susan Leavy G. Meaney Karen Wade Derek Greene FaML 52 37 0 14 May 2020
Deep Learning for Political Science Kakia Chatsiou Slava Jankin AI4CE 66 13 0 13 May 2020
Cyberbullying Detection with Fairness Constraints O. Gencoglu 84 49 0 09 May 2020
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs Adina Williams Ryan Cotterell Lawrence Wolf-Sonkin Damián E. Blasi Hanna M. Wallach 82 19 0 03 May 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 78 314 0 02 May 2020
Multi-Dimensional Gender Bias Classification Emily Dinan Angela Fan Ledell Yu Wu Jason Weston Douwe Kiela Adina Williams FaML 77 124 0 01 May 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds Kawin Ethayarajh 52 27 0 26 Apr 2020
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? K. Joseph Jonathan H. Morgan 55 27 0 25 Apr 2020
Unsupervised Discovery of Implicit Gender Bias Anjalie Field Yulia Tsvetkov 85 49 0 17 Apr 2020
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness Yavuz Selim Kartal B. Guvenen Mucahid Kutlu 51 12 0 17 Apr 2020
Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora Federico Bianchi Valerio Di Carlo P. Nicoli M. Palmonari 25 7 0 13 Apr 2020
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation Seung-Jae Shin Kyungwoo Song Joonho Jang Hyemi Kim Weonyoung Joo Il-Chul Moon 78 21 0 07 Apr 2020
On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation Eva Vanmassenhove 21 0 0 31 Mar 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 74 49 0 24 Mar 2020
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings H. Zhang Amy X. Lu Mohamed Abdalla Matthew B. A. McDermott Marzyeh Ghassemi 72 176 0 11 Mar 2020