Distributional techniques for philosophical enquiry

By Aurélie Herbelot, Eva von Redecker, Johanna Müller. 2012

19 citations recorded by the source corpus.

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In Philosophy

Citations in the corpus

On Measuring Social Biases in Sentence Encoders (2019, background): “Recently, intersectionality has been demonstrated in English Wikipedia using distributional semantic word representations (Herbelot et al., 2012), and in the disparate error rates of machine learning technologies like face recognition (Buolamwini and Gebru, 2018).”
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data (2020, background): “Thus, standing meanings evolve over time as speakers can different experiences (e.g. McConnell-Ginet, 1984), and a reﬂection of such change can be observed in their changing textual distribution (e.g. Herbelot et al., 2012; Hamilton et al., 2016).”
Mitigating Gender Bias in Natural Language Processing: Literature Review (2019, background): “A few interdisciplinary studies (Herbelot et al., 2012; Avin et al., 2015; Fu et al., 2016; Schluter, 2018) have emerged, and we urge more”
A Survey of Race, Racism, and Anti-Racism in NLP (2021, background): “A small selection of papers have examined intersectional biases in embeddings or word co-occurrences (Herbelot et al., 2012; May et al., 2019; Tan and Celis, 2019; Lepori, 2020), but we did not identify mentions of intersectionality in any other NLP research areas.”
Gender Bias in Machine Translation (2021, background): “Following the MT work by Hovy et al. (2020), as well as other intersectional analyses from NLP (Herbelot et al., 2012; Jiang and Fellbaum, 2020) and AI-related fields (Buolamwini and Gebru, 2018), future studies may account for the interaction of gender attributes with other sociodemographic classes”