nlp-ethics-paper

This is a list of papers concerning the ethical issues in NLP. Updating… Any suggestion or issue are welcome.

• 💾 stands for releasing new dataset.

Table of Contents

• Survey and Framework
• Semantic Bias
• Bias in Language Generation
• Downstream Task
• Hate Speech
• Analysis
• Benchmarks

Survey and Framework

• Mitigating Gender Bias in Natural Language Processing: Literature Review (ACL 2019)
• Language (Technology) is Power: A Critical Survey of “Bias” in NLP (ACL 2020)
• Predictive Biases in Natural Language Processing Models- A Conceptual Framework and Overview (ACL 2020)
• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜 (FAccT 2021)
• Case Study: Deontological Ethics in NLP (NAACL 2021)

Semantic Bias

Word Embedding

• Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (NIPS 2016)
• Semantics derived automatically from language corpora contain human-like biases (Science 2017)
• Word embeddings quantify 100 years of gender and ethnic stereotypes (PNAS 2018)
• Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (NAACL 2019)
• Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings (NAACL 2019)
• Simple dynamic word embeddings for mapping perceptions in the public sphere (NAACL 2019 Workshop)
• It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution (EMNLP 2019)
• Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation (ACL 2020)
• Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer (ACL 2020) - 💾
• Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation (EMNLP 2020)
• Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis (COLING 2020)
• Intrinsic Bias Metrics Do Not Correlate with Application Bias (arxiv)

Contextual Embedding

• On Measuring Social Biases in Sentence Encoders (NAACL 2019)
• Gender Bias in Contextualized Word Embeddings (NAACL 2019)
• Measuring Bias in Contextualized Word Representations (ACL 2019 Workshop)
• Assessing Social and Intersectional Biases in Contextualized Word Representations (NeurIPS 2019)
• Towards Debiasing Sentence Representations (ACL 2020)
• Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings (ACL 2020)
• Monolingual and Multilingual Reduction of Gender Bias in Contextualized Representations (COLING 2020)
• Unmasking Contextual Stereotypes: Measuring and Mitigating BERT’s Gender Bias (COLING 2020)
• Debiasing Pre-trained Contextualised Embeddings (EACL 2021)
• FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders (ICLR 2021)
• On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning (NAACL 2021)

Language Generation

• The Woman Worked as a Babysitter: On Biases in Language Generation (EMNLP 2019)
• Plug and Play Language Models: A Simple Approach to Controlled Text Generation (Section 4.4) (ICLR 2020)
• SOCIAL BIAS FRAMES: Reasoning about Social and Power Implications of Language (ACL 2020) - 💾
• Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning (EMNLP 2020)
• Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation (EMNLP 2020)
• Towards Controllable Biases in Language Generation (EMNLP 2020 Findings)
• Does Gender Matter? Towards Fairness in Dialogue Systems (COLING 2020)
• Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP (arxiv)

Downstream Task

Coreference Resolution

• Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns (TACL 2018) - 💾
• Gender Bias in Neural Natural Language Processing (arxiv)
• Gender Bias in Coreference Resolution (NAACL 2018) - 💾
• Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods (NAACL 2018) - 💾
• Toward Gender-Inclusive Coreference Resolution (ACL 2020) - 💾
• Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models (EACL 2021)

Image Captioning

• Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (EMNLP 2017)

Sentiment Analysis

• Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (ACL 2018) - 💾

Machine Translation

• Towards Cross-Lingual Generalization of Translation Gender Bias (FAccT 2021)

ETC

• Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting (FAT* 2019)
• Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection (ACL 2020)

Hate speech

• The Risk of Racial Bias in Hate Speech Detection (ACL 2019)
• Social Biases in NLP Models as Barriers for Persons with Disabilities (ACL 2020)
• Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection (NAACL 2021)

Analysis

• Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds (ACL 2020)
• Investigating Gender Bias in Language Models Using Causal Mediation Analysis (NeurIPS 2020)
• Diverse Adversaries for Mitigating Bias in Training (EACL 2021)

Benchmarks

• StereoSet: Measuring stereotypical bias in pretrained language models (arxiv 2020) - 💾
• CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (EMNLP 2020) - 💾
• BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation (FAccT 2021) - 💾
• HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection (AAAI 2021) - 💾
• What Will it Take to Fix Benchmarking in Natural Language Understanding? (NAACL 2021)

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