acm_GE.2019.00012.bib
.1109/GE.2019.00012, author = {Kr\"{u}ger, Stefan and Hermann, Ben}, title = {Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts}, year = {2019}, publisher [...] publisher = {IEEE Press}, url = {https://doi.org/10.1109/GE.2019.00012}, doi = {10.1109/GE.2019.00012}, abstract = {Gender equality initiatives are often faced with a problem: In order to determine whether i [...] for gender prediction based on textual data which are published between January 2017 and January 2019 in order to determine if such approaches may supply viable means to reliably determine an author's …
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