暂无分享,去创建一个
[1] Graeme Hirst,et al. Understanding Undesirable Word Embedding Associations , 2019, ACL.
[2] Ryan Cotterell,et al. It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution , 2019, EMNLP.
[3] Thomas Eckart,et al. Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages , 2012, LREC.
[4] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[5] Solon Barocas,et al. Language (Technology) is Power: A Critical Survey of “Bias” in NLP , 2020, ACL.
[6] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[7] Paolo Rosso,et al. A resource-light method for cross-lingual semantic textual similarity , 2017, Knowl. Based Syst..
[8] Ryan Cotterell,et al. Examining Gender Bias in Languages with Grammatical Gender , 2019, EMNLP.
[9] Arvind Narayanan,et al. Semantics derived automatically from language corpora contain human-like biases , 2016, Science.
[10] Samhaa R. El-Beltagy,et al. AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP , 2017, ACLING.
[11] Adam Tauman Kalai,et al. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings , 2016, NIPS.
[12] Nizar Habash,et al. Automatic Gender Identification and Reinflection in Arabic , 2019, Proceedings of the First Workshop on Gender Bias in Natural Language Processing.
[13] Goran Glavas,et al. A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces , 2020, AAAI.
[14] Katherine McCurdy,et al. Grammatical gender associations outweigh topical gender bias in crosslinguistic word embeddings , 2020, ArXiv.
[15] Shady Elbassuoni,et al. Methodical Evaluation of Arabic Word Embeddings , 2017, ACL.
[16] Yoav Goldberg,et al. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them , 2019, NAACL-HLT.
[17] Brian A. Nosek,et al. Harvesting implicit group attitudes and beliefs from a demonstration web site , 2002 .
[18] Eneko Agirre,et al. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation , 2017, *SEMEVAL.
[19] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[20] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[21] Goran Glavas,et al. Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors , 2019, *SEMEVAL.
[22] Jeff M. Phillips,et al. Attenuating Bias in Word Vectors , 2019, AISTATS.