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Found 5 papers, 1 papers with code
Using Computational Grounded Theory to Understand Tutors’ Experiences in the Gig Economy
To address this, we use a computational grounded theory approach to analyse tutors’ discussions on Reddit.
Using Computational Grounded Theory to Understand Tutors' Experiences in the Gig Economy
To address this, we use a computational grounded theory approach to analyse tutors' discussions on Reddit.
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed.
Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data
The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed.
The Linguistic Ideologies of Deep Abusive Language Classification
This paper brings together theories from sociolinguistics and linguistic anthropology to critically evaluate the so-called {``}language ideologies{''} {---} the set of beliefs and ways of speaking about language{---}in the practices of abusive language classification in modern machine learning-based NLP.
