A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text
Table 4: Results of Relation Extraction on the proposed corpus.
['Models', 'Information', '[ITALIC] F1']
The first entry in the table presents the highest performance achieved by traditional feature-based methods. Hendrickx et al. \shortciteHendrickx2010 feeds a variety of hand-crafted features to the SVM classifier and achieves an F1-score of 48.9.