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Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation [article]

Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, Jason Weston
2020 arXiv   pre-print
We show that our proposed techniques mitigate gender bias in LIGHT by balancing the genderedness of generated dialogue utterances and are particularly effective in combination.  ...  We analyze gender bias in dialogue data, and examine how this bias is actually amplified in subsequent generative chit-chat dialogue models.  ...  a general framework for mitigating bias in generative dialogue.  ... 
arXiv:1911.03842v2 fatcat:resliw5syrfgzavwddk3ixp4nq

Societal Biases in Language Generation: Progress and Challenges [article]

Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
2021 arXiv   pre-print
To better understand these challenges, we present a survey on societal biases in language generation, focusing on how data and techniques contribute to biases and progress towards reducing biases.  ...  Language generation presents unique challenges for biases in terms of direct user interaction and the structure of decoding techniques.  ...  Queens are powerful too: Mitigating gender bias in dialogue generation.  ... 
arXiv:2105.04054v3 fatcat:dhwma4hvfbf7jke3lt227qb73i

RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models [article]

Soumya Barikeri, Anne Lauscher, Ivan Vulić, Goran Glavaš
2021 arXiv   pre-print
Recent work has predominantly focused on measuring and mitigating bias in pretrained language models.  ...  In this work, we present RedditBias, the first conversational data set grounded in the actual human conversations from Reddit, allowing for bias measurement and mitigation across four important bias dimensions  ...  Queens are powerful too: Mitigating gender bias in dialogue generation.  ... 
arXiv:2106.03521v1 fatcat:s43dffsi25goppqnb742qxcf7e

Language (Technology) is Power: A Critical Survey of "Bias" in NLP [article]

Su Lin Blodgett and Solon Barocas and Hal Daumé III and Hanna Wallach
2020 arXiv   pre-print
We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing "bias" is an inherently  ...  We further find that these papers' proposed quantitative techniques for measuring or mitigating "bias" are poorly matched to their motivations and do not engage with the relevant literature outside of  ...  We excluded from the "Vague/unstated" category of motivations the papers that participated in the Gendered Ambiguous Pronoun (GAP) Shared Task at the First ACL Workshop on Gender Bias in NLP.  ... 
arXiv:2005.14050v2 fatcat:nyzr4fj5gne55jzhzm2fy5xeqa

The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses [article]

Bashar Alhafni, Nizar Habash, Houda Bouamor
2021 arXiv   pre-print
Much of the research on this issue has focused on mitigating gender bias in English NLP models and systems.  ...  Gender bias in natural language processing (NLP) applications, particularly machine translation, has been receiving increasing attention.  ...  We acknowledge that by limiting the choice of gender expression to the grammatical gender choices in Arabic, we exclude other alternatives such as non-binary gender or no-gender expressions.  ... 
arXiv:2110.09216v1 fatcat:twukzdxbbbgvrnicwffrpf24ky

Multi-Dimensional Gender Bias Classification [article]

Emily Dinan, Angela Fan, Ledell Wu, Jason Weston, Douwe Kiela, Adina Williams
2020 arXiv   pre-print
Machine learning models are trained to find patterns in data. NLP models can inadvertently learn socially undesirable patterns when training on gender biased text.  ...  In this work, we propose a general framework that decomposes gender bias in text along several pragmatic and semantic dimensions: bias from the gender of the person being spoken about, bias from the gender  ...  Queens are powerful too: Mitigating gender bias in dialogue generation. Emily Dinan, Samuel Humeau, Bharath Chintagunta, and Jason Weston. 2019b.  ... 
arXiv:2005.00614v1 fatcat:o3lgzjeouvhepmp6bkmw2jk7jm

Mitigating Language-Dependent Ethnic Bias in BERT [article]

Jaimeen Ahn, Alice Oh
2021 arXiv   pre-print
In this paper, we study ethnic bias and how it varies across languages by analyzing and mitigating ethnic bias in monolingual BERT for English, German, Spanish, Korean, Turkish, and Chinese.  ...  BERT and other large-scale language models (LMs) contain gender and racial bias.  ...  Queens are powerful too: Mitigating gender bias in dialogue generation.  ... 
arXiv:2109.05704v2 fatcat:yfzqtcpxwbcgzcxd4xbfef53fi

Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts [article]

Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark Riedl
2021 arXiv   pre-print
Finally, we quantify the effectiveness of controllable text generation (CTG) methods to mitigate the tendency of neural dialogue models to agree with offensive comments.  ...  Dialogue models trained on human conversations inadvertently learn to generate toxic responses.  ...  This material is based in part on research sponsored by the NSF (IIS-1845670) and DARPA via the ARO (W911NF-17-C-0095).  ... 
arXiv:2108.11830v2 fatcat:vrrhe53npndghmw2sla4i7ah4i

Adopted vs. Adapted EFL Textbooks in Iranian Context: Focusing on Gender Representation and Teacher Beliefs

Massoud Yaghoubi-Notash, Elmira Kooshavar
2013 Journal of Language Teaching and Research  
Studies show that most of textbooks are biased in a way that they present stereotypical female images.  ...  Implications of the study are discussed.  ...  They found that there was some gender bias in the textbook dialogues but on the whole, the bias was not extreme.  ... 
doi:10.4304/jltr.4.4.791-800 fatcat:qro3melk6fgibbd23yrcs5frqe

The Trans Panic Defense: Heteronormativity, and the Murder of Transgender Women

Cynthia Lee, Peter Kar Yu Kwan
2014 Social Science Research Network  
The law, however, generally disapproves of acts of violence that are motivated by a desire to enforce gender norms. 16.  ...  "This is just too much."  ... 
doi:10.2139/ssrn.2430390 fatcat:ex4twcyaunc4tlr5inciupyj6y

READING SIR THOMAS SMITH'S DE REPUBLICA ANGLORUM AS PROTESTANT APOLOGETIC

ANNE MCLAREN
1999 The Historical Journal  
The first establishes Smith's ideological concerns and convictions in Edward VI's reign and in the early years of Elizabeth's.  ...  The conclusion locates Smith's text in relation to one further context : Claude de Seyssel's The monarchy of France and its use by French Huguenot theorists in the s.  ...  Protestant national identity is too often overlooked.$" But Smith actually wrote a tract urging the queen to marry in , the Dialogue concerning the queen's marriage.$# Like De republica anglorum,  ... 
doi:10.1017/s0018246x99008730 fatcat:ogi5nddbsrhdvnr4uedqpvfhiu

Just Cognition: Scientific Research on Bias and Some Implications for Legal Procedure and Decision‐Making

Gary Edmond, Kristy A. Martire
2019 Modern law review  
Judges have insisted that some potential sources of bias are not open to review and maintained the idea that they are peculiarly resistant to bias through legal training and judicial experience.  ...  Bias is believed to threaten the administration of justice and the legitimacy of legal decision-making, particularly public confidence in the courts.  ...  done so.' 89 Those who believe themselves to be less biased than others generally are not.  ... 
doi:10.1111/1468-2230.12424 fatcat:yirkvttiffcbjivi6dm4b6vwcu

Towards Neural Programming Interfaces [article]

Zachary C. Brown, Nathaniel Robinson, David Wingate, Nancy Fulda
2021 arXiv   pre-print
It is notoriously difficult to control the behavior of artificial neural networks such as generative neural language models.  ...  Importantly, no permanent changes are made to the weights of the original model, allowing us to re-purpose pretrained models for new tasks without overwriting any aspect of the language model.  ...  Acknowledgments and Disclosure of Funding We would like to acknowledge the significant contribution of our collaborators Junseong Ahn and Benjamin Murdoch, whose discussion and insights were invaluable in  ... 
arXiv:2012.05983v2 fatcat:4tpggy33uzdu3myvq2twly3quy

Beyond the martial façade: gender, heritage and medieval castles

Karen Dempsey, Roberta Gilchrist, Jeremy Ashbee, Stefan Sagrott, Samantha Stones
2019 International Journal of Heritage Studies (IJHS)  
The enduring narrative of militarism at medieval castles sites is discussed, together with issues of authenticity in relation to the historical record, which is in itself biased and inherently gendered  ...  Gendered interpretations are rare both within castle-studies and heritage discourses on medieval castles.  ...  It illustrated too, the biases that are present within our workin how we are telling the story to the public today.  ... 
doi:10.1080/13527258.2019.1636119 fatcat:pag6ewyycbfpplvjdbph3bwqyu

In Defense of Safe Spaces: A Phenomenological Account

Jina Fast
2018 Atlantis: A Womens Studies Journal  
through power discrepancies are erased.  ...  Moreover, the anxieties that arise in the expectation of intrusion of the unsafe reflect gendered, sexual, and racialized power relations that are effects of a system of structural violence (Koskela 1997  ...  I include this example as it also shows that white male students are not silenced in safe(r) space classrooms.  ... 
doi:10.7202/1064069ar fatcat:rbuqnzkn7vgw3jnijepxhz6jzm
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