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Can an online service predict gender?: on the state-of-the-art in gender identification from texts

Krüger, Stefan and Hermann, Ben (2019):
Can an online service predict gender?: on the state-of-the-art in gender identification from texts.
In: GE@ICSE 2019 : 2nd Workshop on Gender Equality in Software Engineering, Montreal, Canada, May 27, 2019, DOI: 10.1109/GE.2019.00012,
[Online-Edition: https://dl.acm.org/citation.cfm?id=3339011],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Krüger, Stefan and Hermann, Ben
Title: Can an online service predict gender?: on the state-of-the-art in gender identification from texts
Language: English
Uncontrolled Keywords: Engineering; E1
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Software Engineering
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1119: CROSSING – Cryptography-Based Security Solutions: Enabling Trust in New and Next Generation Computing Environments
Event Title: GE@ICSE 2019 : 2nd Workshop on Gender Equality in Software Engineering
Event Location: Montreal, Canada
Event Dates: May 27, 2019
Date Deposited: 18 Dec 2019 08:29
DOI: 10.1109/GE.2019.00012
Official URL: https://dl.acm.org/citation.cfm?id=3339011
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