Papers with cross-lingual gender prediction
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction (P18-2)
Copied to clipboard
| Challenge: | Existing gender prediction models rely on lexical and social network features to capture style beyond topic. |
| Approach: | They propose an alternative to lexical bleaching, i.e., transforming lexicals into more abstract features. |
| Outcome: | The proposed model performs similar to lexical models, but is less language-, topic-, and platform dependent. |