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Productive interactions between diverse users and language technologies require outputs from the latter to be culturally relevant and sensitive.
Intrinsic bias metrics do not correlate with application bias
Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, Mugdha Pandya, and Adam Lopez. 2021 · 1940
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Culture: A Critical Review of Concepts and Definitions
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Binary Codes Capable of Correcting Deletions, Insertions and Reversals
V. I. Levenshtein. 1966 · 1966
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Language style as audience design
Allan Bell. 1984 · 1984
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Evaluating Natural Language Processing Systems: An Analysis and Review , pages 3–63. Springer Berlin Heidelberg, Berlin, Heidelberg
Karen Sparck Jones and Julia R. Galliers. 1995 · 1995
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Promoting multicultural education: A holistic approach
Mary F. Howard-Hamilton, Brenda J. Richardson, and Bettina C. Shuford. 1998 · 1998
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Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations
Geert Hofstede. 2001 · 2001
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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A moving target: The illusive definition of culture
John Baldwin, Sandra L. Faulkner, and Michael L. Hecht. 2006 · 2006
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Identification and Assessment of Intercultural Competence as a Student Outcome of Internationalization
Darla K. Deardorff. 2006 · 2006
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Natural language processing with python: Analyzing text with the natural language toolkit
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The SAGE Handbook of Intercultural Competence
Darla K. Deardorff. 2009 · 2009
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Developing alternative frameworks for exploring intercultural learning: a critique of hofstede’s cultural difference model
Paola Signorini, Rolf Wiesemes, and Roger J. L. Murphy. 2009 · 2009
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Cultures and organizations: Software of the mind, 3rd ed
Gert Jan Hofstede, Gert Jan Hofstede, Michael Minkov, and McGraw-Hill New. 2010 · 2010
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Lost in translation? the effect of cultural values on mergers around the world
Kenneth Robinson Ahern, Daniele Daminelli, and Cesare Fracassi. 2012 · 2012
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Cultural competence dimensions and outcomes: a systematic review of the literature
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Substructure of an intercultural curriculum. comparison of selected features of the croatian culture among high school students and their teachers according to the hofstede model
Renata Burai. 2016 · 2016
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Problems with evaluation of word embeddings using word similarity tasks
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Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them
Hila Gonen and Yoav Goldberg. 2019 · 2019
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Emma Strubell, Ananya Ganesh, and Andrew McCallum. 2019 · 2019
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Anurag Acharya, Kartik Talamadupula, and Mark A Finlayson. 2020 · 2020
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Are some words worth more than others?
Shiran Dudy and Steven Bedrick. 2020 · 2020
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Dirk Hovy and Diyi Yang. 2021 · 2021
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurelien Rodriguez, Robert Stojnic, Sergey Edunov, and Thomas Scialom. 2023 · 2023
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Re-contextualizing fairness in NLP: The case of India
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On the intrinsic and extrinsic fairness evaluation metrics for contextualized language representations
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World Values Survey: Round Seven - Country-Pooled Datafile Version 5.0
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Challenges and strategies in cross-cultural NLP
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Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-aimée Kaffee, and Isabelle Augenstein. 2023 · 2023
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Cross-cultural analysis of human values, morals, and biases in folk tales
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