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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/vgoOotK0JO via @stanfordnlp
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RT @asherjdm: Garg, Schiebinger, Jurafsky, & Zou (2018) - studying the association between word embedding measures of gender bias and occup…
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Garg, Schiebinger, Jurafsky, & Zou (2018) - studying the association between word embedding measures of gender bias and occupation shifts. Also looks at ethnic stereotypes and their relation to occupational adoption. https://t.co/NDVcJpmknu
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RT @Shevek91: https://t.co/A8zqr8mFg3 이 연구도 과거 소개한 기억이 있는데, 이 논문만 해도 참여한 연구자들 가운데 하나 빼고는 다 CS 소속이고 처음 프로시딩 형태로 올라온 곳도 arxiv였습니다. 2018년에 출판…
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https://t.co/A8zqr8mFg3 이 연구도 과거 소개한 기억이 있는데, 이 논문만 해도 참여한 연구자들 가운데 하나 빼고는 다 CS 소속이고 처음 프로시딩 형태로 올라온 곳도 arxiv였습니다. 2018년에 출판된 논문이 현재 인용이 벌써 300건이 넘었고요.
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RT @j2bryson: Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/xYIkpvygmD Using #ai to quantify, understa…
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@tokutokupooh https://t.co/4VE7zVd9BM ↑みたいなsemanticの変化を考えていて、どの程度トレンドから乖離したり、(構造変化のように)意味変化が起こるのかなどを考えていました。適当にバイアスを定義して、変化を調べる(https://t.co/z3aqHGpGwf)とかもあるけど、もっと自然に調べたいというお気持ち表明でした。
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Word embedding models seem to be a good method to deal with historic data
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agree. also interesting comparison of adjectives. i get the feeling that 1910 was more friendly, respectful and allows different paths than did 1950s and 1990s. https://t.co/3uLAYQySIh
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This looks like very cool research.
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RT @j2bryson: Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/xYIkpvygmD Using #ai to quantify, understa…
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RT @j2bryson: Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/xYIkpvygmD Using #ai to quantify, understa…
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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/xYIkpvygmD Using #ai to quantify, understand & communicate who we are makes much more sense to me than trying to hack & limit who we are through digital constraints
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@robmay @atg_abhishek @go_kerem_go @timnitGebru AI is a mirror that will, by necessity, mimic and potentially concentrate underlying biases in training data. It has already told us some pretty ugly truths. It exposed biased hiring at Amazon, and can be use
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100年間のテキストデータから、ジェンダーなどのステレオタイプに関する傾向を定量化したよという研究。 Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/H6ChfUmfZu
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RT @keisemi: #経セミ ８・９月号・海外論文サーベイ＝機械学習でテキストに隠れたバイアスを定量化する、公開！ 松井暉さん（南カリフォルニア大学CS学部博士課程）に執筆頂きました。紹介論文： https://t.co/2DyOQlKhyA 100年に及ぶ資料の文字情報…
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RT @Akira_Mat5: Word embeddingを社会科学的な分析に使った論文のサーベイです。最後に簡単な文献紹介も入れています。
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RT @Akira_Mat5: Word embeddingを社会科学的な分析に使った論文のサーベイです。最後に簡単な文献紹介も入れています。
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RT @keisemi: #経セミ ８・９月号・海外論文サーベイ＝機械学習でテキストに隠れたバイアスを定量化する、公開！ 松井暉さん（南カリフォルニア大学CS学部博士課程）に執筆頂きました。紹介論文： https://t.co/2DyOQlKhyA 100年に及ぶ資料の文字情報…
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RT @Akira_Mat5: Word embeddingを社会科学的な分析に使った論文のサーベイです。最後に簡単な文献紹介も入れています。
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RT @Akira_Mat5: Word embeddingを社会科学的な分析に使った論文のサーベイです。最後に簡単な文献紹介も入れています。 https://t.co/tCQNexXFbs
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Word embeddingを社会科学的な分析に使った論文のサーベイです。最後に簡単な文献紹介も入れています。
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#経セミ ８・９月号・海外論文サーベイ＝機械学習でテキストに隠れたバイアスを定量化する、公開！ 松井暉さん（南カリフォルニア大学CS学部博士課程）に執筆頂きました。紹介論文： https://t.co/2DyOQlKhyA 100年に及ぶ資料の文字情報を解析しジェンダーバイアスの有無を探るとても面白い研究です！
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@cnosilla This paper gets into that topic, but it's focusing on news writing vs. literature: https://t.co/p3FXzs93eO
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@databoydg @brendan642 here's an example paper of my intended use of "applications of ML to show biases in society (not core ML)": https://t.co/rWJtEf9hKr
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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/WnMF2ATxHb
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There are lots of great references in that talk, but I want to highlight 2️⃣ that are really great reads: Garg et al (2018) *use* bias in word embeddings to quantify change in social attitudes 😮 https://t.co/DaDKAylmzo
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@awakenting Ich hab mir den durchschnittlichen Abstand von pos. vs neg. Wörtern (Liste von Adjektiven) zu einem Bestimmen Wort z. B. Migrant oder Ausländer angesehen. Kam aber nichts richtiges raus, und hab es nicht weiter verfolgt. Ähnlich zu dem Paper: h
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RT @PickersgillM: On the intersection between #machinelearning and #socialscience. https://t.co/U74bQqPwLf
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On the intersection between #machinelearning and #socialscience.
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'Word embeddings quantify 100 years of gender and ethnic stereotypes' https://t.co/R7xdECXEEP
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RT @bahmanian1: عنوان مقاله: آنالیز شکل استفاده از لغت (Word embeddings) در متون ۱۰۰ سال گذشته برای تحلیل کمّی کلیشه‌های جنسیتی و نژادی یه…
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عنوان مقاله: آنالیز شکل استفاده از لغت (Word embeddings) در متون ۱۰۰ سال گذشته برای تحلیل کمّی کلیشه‌های جنسیتی و نژادی یه نِرد برابری‌خواه زحمت بکشه و این مقاله رو به زبون همه فهم ترحمه کنه. هی نموداراشو نگاه میکنم و سر در نمیارم چی به چیه! https://t.co/
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@krose621 @adrianapicoral @RLadiesTucson Computational linguistics is a huge field, but here's a paper I really like and give it as an intro to what word embeddings can do: https://t.co/t5hrEsEk3e
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This is such a creative and interesting paper. Biases in word embeddings track historical trends like labor force partipation. "We demonstrate that word embeddings can be used as a powerful tool to quantify historical trends and social change." https://
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RT @gwern: @TomerUllman And people say language models don't learn anything about the real world! But word2vec's already been shown to accu…
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/LfhRiDaD3N #AI #Research via @yoavgo
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@dsvib @Giligg @GadiAleks @Qwigwog2 @ExMaahal @rinaarts @amirvaxman (אגב, יש את המחקר הזה, שהשתמש בגדול בשיטה שויברפון מציע, אבל לא בחן צבעים. https://t.co/rWJtEfqSBZ)
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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/uKL3B1ad5f
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/LfhRiDaD3N #AI #Research via @jeremyphoward
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Nice lecture on how word embeddings quantify stereotypes https://t.co/veIvrivaBO Original Paper referenced during @NAACLHLT keynote by @random_walker https://t.co/7oDpEd0eb8
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/3Ls6sM0U8R #AI #Business via @math_rachel
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Deep NLP turns around to facilitate linguistic findings. Full circle.
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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RT @NikhGarg: Thank you for having me! What a great class with a bunch of excellent questions! https://t.co/tEJbsuzkdJ
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Thank you for having me! What a great class with a bunch of excellent questions!
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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RT @math_rachel: Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," pu…
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Excellent guest lecture by @NikhGarg on his work "Word embeddings quantify 100 years of gender and ethnic stereotypes," published in PNAS: https://t.co/1Wk7kSINpg class lecture: https://t.co/oArMWutz1E https://t.co/xSWo6UlNoS
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RT @bowkerl: Hey @Evanmassenhove and @tarfandy - I stumbled across this article and thought you might find it interesting (if you don't kno…
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Hey @Evanmassenhove and @tarfandy - I stumbled across this article and thought you might find it interesting (if you don't know of it already, that is!) https://t.co/k5h2faccyv #MachineBias
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D. ML as a magnifying lens to study society: @NikhGarg used word vectors to study bias over 100 years for which statistical data would otherwise have not been available! https://t.co/gyDg7XeOfJ (16/)
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RT @annekroon: Bias in AI is a bad thing, BUT also useful to demonstrate fluctuations in gender stereotypes over time: https://t.co/HLchXk7…
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RT @annekroon: Bias in AI is a bad thing, BUT also useful to demonstrate fluctuations in gender stereotypes over time: https://t.co/HLchXk7…
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Bias in AI is a bad thing, BUT also useful to demonstrate fluctuations in gender stereotypes over time: https://t.co/HLchXk7w8G #bias #AI #biasedAI https://t.co/2U6jnHoH2M
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How did gender and racial stereotypes about jobs changed in US during the 20th century? https://t.co/O4xcpiuo6c https://t.co/Jm6HO1aFea
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Monthly Report by Essentials: Most discussed articles about #ai: Word embeddings quantify 100 years of gender and ethnic stereotypes https://t.co/JNDmcDyA9v #machinelearning #artificialintelligence via @gwern
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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As a machine learning practitioner, it's important to watch out for biases in the data. Here's an interesting paper on 100 years of gender and race bias in words, extracted with word embeddings: https://t.co/D8kIa2nKJ7
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @bruce_2b: Using #MachineLearning to study changing stereotypes & attitudes toward women & ethnic minorities over decades: https://t.co/…
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RT @bruce_2b: Using #MachineLearning to study changing stereotypes & attitudes toward women & ethnic minorities over decades: https://t.co/…
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RT @bruce_2b: Using #MachineLearning to study changing stereotypes & attitudes toward women & ethnic minorities over decades: https://t.co/…
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Using #MachineLearning to study changing stereotypes & attitudes toward women & ethnic minorities over decades: https://t.co/AQjYURFf7M HT @baxterkb
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @agriculios: @johnlsheridan @AnnaSexton100 @DavidUnderdown9 @safiyanoble Might be of interest: https://t.co/V3AkESfP4P @math_rachel
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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@johnlsheridan @AnnaSexton100 @DavidUnderdown9 @safiyanoble Might be of interest: https://t.co/V3AkESfP4P @math_rachel
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…
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RT @math_rachel: Word embeddings quantify 100 years of gender and ethnic stereotypes paper: https://t.co/1Wk7kSINpg code: https://t.co/nBi4…