Learning Multi-faceted Representations of Individuals from Heterogeneous Evidence using Neural Networks
Table 6: Performances of different models on extraction of user preferences (like/dislike) toward entities.
['Model', 'Pre', 'Rec', 'F1']
Modeling tweet-level and entity-level information yields better performance than moldeing them in a unified model (one-step-crf).