Author Attribute Prediction
Dirk discusses predicting author age and gender using word embeddings to increase similarity within age classes. By "retrofitting" vectors, the model captures homophily, showing how people with similar socio-demographic attributes speak alike.In this clip
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NLP Highlights
76 - Increasing In-Class Similarity by Retrofitting Embeddings with Demographics, with Dirk Hovy
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