Composing Distributed Representations of Relational Patterns
Table 3: F1 scores on the SemEval 2010 dataset.
['Method', 'Feature set', 'F1']
The first group of the table provides basic features and enhancements with the distributed representations. We can observe a significant improvement even from the distributed representation of NoComp (77.3 to 79.9). Moreover, the distributed representation that exhibited the high performance on the pattern similarity task was also successful on this task; GAC, which yielded the highest performance on the pattern similarity task, also achieved the best performance (82.0) of all encoders on this task. We could further improve the performance of SVM + GAC by incorporating external resources in the similar manner as the previous studies did. Concretely, SVM + GAC achieved 83.7 F1 score by adding features for WordNet, named entities (NE), and dependency paths explained in \newcitehashimoto-EtAl:2015:CoNLL.