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Diachronic Analysis of German Parliamentary Proceedings: Ideological
Shifts through the Lens of Political Biases

Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases

13 August 2021

Celina Kirschner

Simone Paolo Ponzetto

Papers citing "Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases"

19 / 19 papers shown

Title
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings Anne Lauscher Rafik Takieddin Simone Paolo Ponzetto Goran Glavaš 48 28 0 03 Nov 2020
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces Anne Lauscher Goran Glavaš Simone Paolo Ponzetto Ivan Vulić 80 64 0 13 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 565 4,353 0 23 Aug 2019
Understanding Undesirable Word Embedding Associations Kawin Ethayarajh David Duvenaud Graeme Hirst FaML 47 125 0 18 Aug 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 103 450 0 18 Jun 2019
Training Temporal Word Embeddings with a Compass Valerio Di Carlo Federico Bianchi M. Palmonari 75 67 0 05 Jun 2019
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914 Rocco Tripodi M. Warglien S. Sullam Deborah Paci LLMSV 26 21 0 04 Jun 2019
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors Anne Lauscher Goran Glavaš 71 55 0 26 Apr 2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings Christine Basta Marta R. Costa-jussá Noe Casas 64 192 0 18 Apr 2019
Gender Bias in Contextualized Word Embeddings Jieyu Zhao Tianlu Wang Mark Yatskar Ryan Cotterell Vicente Ordonez Kai-Wei Chang FaML 123 421 0 05 Apr 2019
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them Hila Gonen Yoav Goldberg 100 571 0 09 Mar 2019
Attenuating Bias in Word Vectors Sunipa Dev J. M. Phillips FaML 72 151 0 23 Jan 2019
Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes Nikhil Garg L. Schiebinger Dan Jurafsky James Zou AI4TS 69 965 0 22 Nov 2017
On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models Steffen Eger Alexander Mehler 43 58 0 08 Apr 2017
Semantics derived automatically from language corpora contain human-like biases Aylin Caliskan J. Bryson Arvind Narayanan 213 2,670 0 25 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 110 3,139 0 21 Jul 2016
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,972 0 15 Jul 2016
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton J. Leskovec Dan Jurafsky 93 923 0 30 May 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 394 33,529 0 16 Oct 2013

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