Published Jan 21, 2019

79 - The glass ceiling in NLP, with Natalie Schluter

Natalie Schluter delves into the systemic gender disparities in NLP, uncovering a glass ceiling effect through her analysis of mentor-mentee networks. Her insights reveal how network homophily and biased preferential attachments hinder female researchers' career progression.

Episode Highlights

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Dexa/NLP Highlights

79 - The glass ceiling in NLP, with Natalie Schluter

Topics covered

Popular Clips

Glass Ceiling Study

Network Homophily Study

Author Name Normalization

Mentorship Time Gaps

Gender Mentorship Success

Gender Gap Observations

Gender Discrepancies

Gender Disparities Analysis

Episode Highlights

Network Homophily

Data Analysis Techniques

Gender Disparities

Related Episodes

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108 - Data-To-Text Generation, with Verena Rieser and Ondřej Dušek

81 - BlackboxNLP, with Afra Alishahi and Tal Linzen

102 - Biomedical NLP research at the National Institute of Health with Dina Demner-Fushman

106 - Ethical Considerations In NLP Research, with Emily Bender

93 - NLP/ML for clinical data, with Alistair Johnson

131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski

38 - A Corpus of Natural Language for Visual Reasoning, with Alane Suhr

92 - Computational Humanities, with David Bamman

63 - Neural Lattice Language Models, with Jacob Buckman

67 - GLUE: A Multi-Task Benchmark and Analysis Platform, with Sam Bowman

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40 - On the State of the Art of Evaluation in Neural Language Models, with Gábor Melis

44 - Truly Low Resource NLP, with Anders Søgaard

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79 - The glass ceiling in NLP, with Natalie Schluter

Topics covered

Popular Clips

Episode Highlights

Network HomophilyNatalie Schluter examines gender disparities in NLP through mentor-mentee networks, revealing a glass ceiling effect. Her analysis highlights the role of homophily and biased preferential attachment in perpetuating gender imbalances.

Network Homophily

Data Analysis TechniquesNatalie Schluter explores the glass ceiling in NLP through a data-driven analysis of mentor-mentee networks. Her findings reveal significant gender disparities in career progression, highlighting the challenges faced by female researchers in achieving mentorship status.

Data Analysis Techniques

Gender Disparities

Related Episodes