![EMNLP-IJCNLP2019: Tutorial [T4] Bias and Fairness in Natural Language Processing (Part 1 2) from deep learning training Video Screenshot Preview](https://cdn4.hifimov.co/picture/original/nUE0pUZ6Yl9cYaMcoJIiL_EhYzAioF9_nJEyol85ZGx-AQp-ZGDgMGqyMJEwMQuyAGIuBGx5ZTRkZmx1BJIvMwD1LwLjBQRmAmIwMQEzBGIzZwpjMwZmATL-LzMzMQZkLwEvBJL5Ll1xKmVjZUtkAGNcXltbFTyTnH1iqv5wolysBGR5BQD3BQR0YJH3MJIxL_D-MGH1LGx5BGOuZGZ5AGyyLzL0AJV_ZQtkZmp1L_D0Mwx1MwV3ZTLmZmEzBTWzMzDmZJV0LwyzBJZgMP0lZQO-ZGHj/(HiFiMov.co)_emnlp-ijcnlp2019-tutorial-t4-bias-and-fairness-in-natural-language-processing-part-1-2.jpg "EMNLP-IJCNLP2019: Tutorial [T4] Bias and Fairness in Natural Language Processing (Part 1 2) from deep learning training Video Screenshot Preview")
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⏲ Duration: 52 min 17 sec
✓ Published: 06-Jul-2020
✓ Published: 06-Jul-2020
Description:
EMNLP-IJCNLP2019nnTutorial [T4] (Part 1/2)nnTitle: Bias and Fairness in Natural Language ProcessingnnAuthors: Kai-Wei Chang, Margaret Mitchell and Vicente OrdoneznnDate: 4-NOV-2019nnLocation: SkyCity, AsiaWorld-Expo, HONG KONGnnRecent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics and diagnostic information from la
EMNLP-IJCNLP2019nnTutorial [T4] (Part 1/2)nnTitle: Bias and Fairness in Natural Language ProcessingnnAuthors: Kai-Wei Chang, Margaret Mitchell and Vicente OrdoneznnDate: 4-NOV-2019nnLocation: SkyCity, AsiaWorld-Expo, HONG KONGnnRecent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics and diagnostic information from la
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