Data Augmentation for Personal Knowledge Graph Population
Table 2. Entity Classification performance with and without augmented features.
['[BOLD] Dataset', '[BOLD] Model', '[BOLD] Macro F1', '[BOLD] Micro F1']
The important thing to note is that these token level features can be obtained cheaply, using off-the-shelf NLP tools to deliver linguistic features such as POS tags, or using existing rule based systems to deliver task or domain specific type tags. The state of the art methods like TACRED perform reasonably well, relations are often not mentioned in text. The UDBMS dataset based on the person data in DBPedia has over 500k nodes and only 28k edges.